Add files using upload-large-folder tool
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- 2001.09215/record.json +32 -0
- 2003.02249/record.json +32 -0
- 2003.06658/record.json +32 -0
- 2005.01348/record.json +32 -0
- 2005.02066/record.json +32 -0
- 2006.16309/record.json +32 -0
- 2010.13993/record.json +32 -0
- 2011.08067/record.json +32 -0
- 2011.11288/record.json +32 -0
- 2012.05688/record.json +32 -0
- 2012.05983/record.json +32 -0
- 2012.10974/record.json +32 -0
- 2101.01000/record.json +32 -0
- 2102.06857/record.json +32 -0
- 2102.12871/record.json +32 -0
- 2104.06313/record.json +32 -0
- 2104.08790/record.json +32 -0
- 2104.09937/record.json +32 -0
- 2104.12133/record.json +32 -0
- 2105.02961/record.json +32 -0
- 2105.04030/record.json +32 -0
- 2105.09356/record.json +32 -0
- 2106.01354/record.json +32 -0
- 2106.03904/record.json +32 -0
- 2106.09614/record.json +32 -0
- 2106.10512/record.json +32 -0
- 2106.14087/record.json +32 -0
- 2108.11636/record.json +32 -0
- 2108.12841/record.json +32 -0
- 2108.13493/record.json +32 -0
- 2109.14982/record.json +32 -0
- 2110.01428/record.json +32 -0
- 2110.04176/record.json +32 -0
- 2110.06084/record.json +32 -0
- 2110.11852/record.json +32 -0
- 2110.13412/record.json +32 -0
- 2111.04670/record.json +32 -0
- 2111.05323/record.json +32 -0
- 2111.14893/record.json +32 -0
- 2111.15000/record.json +32 -0
- 2111.15340/record.json +32 -0
- 2112.05125/record.json +32 -0
- 2112.07160/record.json +32 -0
- 2112.08025/record.json +32 -0
- 2112.08609/record.json +32 -0
- 2201.00520/record.json +32 -0
- 2201.08214/record.json +32 -0
- 2201.13100/record.json +32 -0
- 2202.07028/record.json +32 -0
- 2202.12162/record.json +32 -0
2001.09215/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2001.09215",
|
| 3 |
+
"month": "2020_01",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "AAAI",
|
| 6 |
+
"title": "An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract)",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2001.09215",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_01/main_diagram_database/2001.09215",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_01/tex_files_extracted/2001.09215",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_01/main_diagram_database/2001.09215/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_01/main_diagram_database/2001.09215/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_01/main_diagram_database/2001.09215/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2001.09215/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2001.09215/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2001.09215/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2001.09215/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2001.09215/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2001.09215/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2003.02249/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2003.02249",
|
| 3 |
+
"month": "2020_03",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2003.02249",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_03/main_diagram_database/2003.02249",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_03/tex_files_extracted/2003.02249",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_03/main_diagram_database/2003.02249/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_03/main_diagram_database/2003.02249/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_03/main_diagram_database/2003.02249/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.02249/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.02249/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.02249/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.02249/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.02249/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.02249/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2003.06658/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2003.06658",
|
| 3 |
+
"month": "2020_03",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "From SCAN to Real Data: Systematic Generalization via Meaningful Learning",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2003.06658",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_03/main_diagram_database/2003.06658",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_03/tex_files_extracted/2003.06658",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_03/main_diagram_database/2003.06658/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_03/main_diagram_database/2003.06658/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_03/main_diagram_database/2003.06658/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.06658/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.06658/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.06658/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.06658/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.06658/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2003.06658/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2005.01348/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2005.01348",
|
| 3 |
+
"month": "2020_05",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "The Sensitivity of Language Models and Humans to Winograd Schema Perturbations",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2005.01348",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.01348",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/tex_files_extracted/2005.01348",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.01348/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.01348/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.01348/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.01348/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.01348/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.01348/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.01348/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.01348/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.01348/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2005.02066/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2005.02066",
|
| 3 |
+
"month": "2020_05",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "CVPR",
|
| 6 |
+
"title": "Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2005.02066",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.02066",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/tex_files_extracted/2005.02066",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.02066/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.02066/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.02066/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.02066/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.02066/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.02066/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.02066/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.02066/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.02066/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2006.16309/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2006.16309",
|
| 3 |
+
"month": "2020_06",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Debiasing knowledge graph embeddings",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2006.16309",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.16309",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/tex_files_extracted/2006.16309",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.16309/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.16309/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.16309/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.16309/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.16309/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.16309/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.16309/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.16309/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.16309/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2010.13993/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2010.13993",
|
| 3 |
+
"month": "2020_10",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Combining Label Propagation and Simple Models out-performs Graph Neural Networks",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2010.13993",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.13993",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.13993",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.13993/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.13993/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.13993/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.13993/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.13993/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.13993/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.13993/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.13993/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.13993/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2011.08067/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2011.08067",
|
| 3 |
+
"month": "2020_11",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NAACL",
|
| 6 |
+
"title": "Hierarchical Transformer for Task Oriented Dialog Systems",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2011.08067",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.08067",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/tex_files_extracted/2011.08067",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.08067/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.08067/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.08067/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.08067/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.08067/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.08067/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.08067/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.08067/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.08067/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2011.11288/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2011.11288",
|
| 3 |
+
"month": "2020_11",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "AutoGO: Automated Computation Graph Optimization for Neural Network Evolution",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2011.11288",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.11288",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/tex_files_extracted/2011.11288",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.11288/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.11288/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.11288/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.11288/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.11288/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.11288/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.11288/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.11288/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.11288/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2012.05688/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2012.05688",
|
| 3 |
+
"month": "2020_12",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "IJCAI",
|
| 6 |
+
"title": "Domain Adaptive Classification on Heterogeneous Information Networks",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2012.05688",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.05688",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/tex_files_extracted/2012.05688",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.05688/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.05688/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.05688/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05688/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05688/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05688/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05688/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05688/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05688/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2012.05983/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2012.05983",
|
| 3 |
+
"month": "2020_12",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Towards Neural Programming Interfaces",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2012.05983",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.05983",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/tex_files_extracted/2012.05983",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.05983/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.05983/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.05983/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05983/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05983/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05983/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05983/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05983/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.05983/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2012.10974/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2012.10974",
|
| 3 |
+
"month": "2020_12",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "CVPR",
|
| 6 |
+
"title": "High-Fidelity Neural Human Motion Transfer From Monocular Video",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2012.10974",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.10974",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/tex_files_extracted/2012.10974",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.10974/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.10974/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.10974/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.10974/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.10974/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.10974/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.10974/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.10974/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2012.10974/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2101.01000/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2101.01000",
|
| 3 |
+
"month": "2021_01",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "AAAI",
|
| 6 |
+
"title": "Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2101.01000",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.01000",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/tex_files_extracted/2101.01000",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.01000/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.01000/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.01000/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.01000/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.01000/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.01000/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.01000/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.01000/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.01000/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2102.06857/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2102.06857",
|
| 3 |
+
"month": "2021_02",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "On Robust Optimal Transport: Computational Complexity and Barycenter Computation",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2102.06857",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.06857",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/tex_files_extracted/2102.06857",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.06857/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.06857/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.06857/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.06857/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.06857/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.06857/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.06857/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.06857/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.06857/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2102.12871/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2102.12871",
|
| 3 |
+
"month": "2021_02",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "SparseBERT: Rethinking the Importance Analysis in Self-attention",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2102.12871",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.12871",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/tex_files_extracted/2102.12871",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.12871/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.12871/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.12871/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.12871/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.12871/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.12871/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.12871/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.12871/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2102.12871/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2104.06313/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2104.06313",
|
| 3 |
+
"month": "2021_04",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "SetConv: A New Approach for Learning from Imbalanced Data",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2104.06313",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.06313",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.06313",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.06313/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.06313/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.06313/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.06313/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.06313/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.06313/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.06313/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.06313/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.06313/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2104.08790/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2104.08790",
|
| 3 |
+
"month": "2021_04",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "Misinfo Reaction Frames: Reasoning about Readers’ Reactions to News Headlines",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2104.08790",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.08790",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.08790",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.08790/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.08790/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.08790/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.08790/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.08790/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.08790/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.08790/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.08790/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.08790/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2104.09937/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2104.09937",
|
| 3 |
+
"month": "2021_04",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Gradient Matching for Domain Generalization",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2104.09937",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.09937",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.09937",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.09937/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.09937/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.09937/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.09937/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.09937/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.09937/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.09937/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.09937/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.09937/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2104.12133/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2104.12133",
|
| 3 |
+
"month": "2021_04",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NAACL",
|
| 6 |
+
"title": "What About the Precedent: An Information-Theoretic Analysis of Common Law",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2104.12133",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.12133",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.12133",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.12133/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.12133/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.12133/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.12133/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.12133/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.12133/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.12133/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.12133/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.12133/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2105.02961/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2105.02961",
|
| 3 |
+
"month": "2021_05",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICCV",
|
| 6 |
+
"title": "UVStyle-Net: Unsupervised Few-Shot Learning of 3D Style Similarity Measure for B-Reps",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2105.02961",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.02961",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/tex_files_extracted/2105.02961",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.02961/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.02961/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.02961/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.02961/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.02961/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.02961/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.02961/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.02961/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.02961/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2105.04030/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2105.04030",
|
| 3 |
+
"month": "2021_05",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "A Bit More Bayesian: Domain-Invariant Learning with Uncertainty",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2105.04030",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.04030",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/tex_files_extracted/2105.04030",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.04030/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.04030/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.04030/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04030/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04030/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04030/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04030/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04030/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04030/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2105.09356/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2105.09356",
|
| 3 |
+
"month": "2021_05",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "IJCAI",
|
| 6 |
+
"title": "Generative Adversarial Neural Architecture Search",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2105.09356",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.09356",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/tex_files_extracted/2105.09356",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.09356/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.09356/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.09356/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09356/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09356/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09356/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09356/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09356/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09356/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2106.01354/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.01354",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NAACL",
|
| 6 |
+
"title": "multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2106.01354",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.01354",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.01354",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.01354/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.01354/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.01354/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01354/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01354/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01354/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01354/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01354/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01354/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2106.03904/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.03904",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2106.03904",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03904",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.03904",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03904/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03904/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03904/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03904/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03904/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03904/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03904/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03904/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03904/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2106.09614/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.09614",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "CVPR",
|
| 6 |
+
"title": "Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2106.09614",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.09614",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.09614",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.09614/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.09614/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.09614/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09614/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09614/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09614/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09614/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09614/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09614/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2106.10512/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.10512",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "TweeNLP: A Twitter Exploration Portal for Natural Language Processing",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2106.10512",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.10512",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.10512",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.10512/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.10512/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.10512/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.10512/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.10512/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.10512/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.10512/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.10512/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.10512/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2106.14087/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.14087",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "AAAI",
|
| 6 |
+
"title": "RADIANT: Radar-Image Association Network for 3D Object Detection",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2106.14087",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.14087",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.14087",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.14087/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.14087/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.14087/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.14087/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.14087/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.14087/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.14087/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.14087/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.14087/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2108.11636/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.11636",
|
| 3 |
+
"month": "2021_08",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICCV",
|
| 6 |
+
"title": "SketchLattice: Latticed Representation for Sketch Manipulation",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2108.11636",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.11636",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/tex_files_extracted/2108.11636",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.11636/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.11636/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.11636/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.11636/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.11636/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.11636/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.11636/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.11636/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.11636/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2108.12841/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.12841",
|
| 3 |
+
"month": "2021_08",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICCV",
|
| 6 |
+
"title": "Rethinking Deep Image Prior for Denoising",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2108.12841",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.12841",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/tex_files_extracted/2108.12841",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.12841/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.12841/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.12841/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.12841/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.12841/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.12841/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.12841/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.12841/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.12841/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2108.13493/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.13493",
|
| 3 |
+
"month": "2021_08",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Semi-Supervised Exaggeration Detection of Health Science Press Releases",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2108.13493",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.13493",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/tex_files_extracted/2108.13493",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.13493/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.13493/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.13493/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.13493/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.13493/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.13493/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.13493/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.13493/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.13493/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2109.14982/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2109.14982",
|
| 3 |
+
"month": "2021_09",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ECCV",
|
| 6 |
+
"title": "Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2109.14982",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.14982",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/tex_files_extracted/2109.14982",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.14982/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.14982/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.14982/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.14982/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.14982/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.14982/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.14982/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.14982/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.14982/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2110.01428/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.01428",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICCV",
|
| 6 |
+
"title": "Seeking Similarities Over Differences: Similarity-Based Domain Alignment for Adaptive Object Detection",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.01428",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.01428",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.01428",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.01428/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.01428/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.01428/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.01428/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.01428/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.01428/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.01428/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.01428/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.01428/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2110.04176/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.04176",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Lightweight Convolutional Neural Networks By Hypercomplex Parameterization",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.04176",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.04176",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.04176",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.04176/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.04176/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.04176/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.04176/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.04176/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.04176/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.04176/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.04176/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.04176/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2110.06084/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.06084",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Implicit Bias of Linear Equivariant Networks",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.06084",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06084",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.06084",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06084/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06084/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.06084/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06084/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06084/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06084/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06084/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06084/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.06084/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2110.11852/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.11852",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.11852",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.11852",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.11852",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.11852/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.11852/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.11852/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.11852/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.11852/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.11852/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.11852/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.11852/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.11852/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2110.13412/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.13412",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "TriBERT: Human-centric Audio-visual Representation Learning",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.13412",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.13412",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.13412",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.13412/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.13412/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.13412/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.13412/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.13412/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.13412/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.13412/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.13412/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.13412/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2111.04670/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.04670",
|
| 3 |
+
"month": "2021_11",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICCV",
|
| 6 |
+
"title": "Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2111.04670",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.04670",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.04670",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.04670/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.04670/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.04670/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.04670/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.04670/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.04670/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.04670/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.04670/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.04670/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2111.05323/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.05323",
|
| 3 |
+
"month": "2021_11",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Variational Multi-Task Learning with Gumbel-Softmax Priors",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2111.05323",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.05323",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.05323",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.05323/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.05323/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.05323/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.05323/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.05323/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.05323/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.05323/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.05323/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.05323/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2111.14893/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.14893",
|
| 3 |
+
"month": "2021_11",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "CVPR",
|
| 6 |
+
"title": "Learning Multiple Dense Prediction Tasks From Partially Annotated Data",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2111.14893",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.14893",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.14893",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.14893/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.14893/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.14893/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.14893/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.14893/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.14893/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.14893/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.14893/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.14893/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2111.15000/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.15000",
|
| 3 |
+
"month": "2021_11",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "CVPR",
|
| 6 |
+
"title": "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2111.15000",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15000",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.15000",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15000/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15000/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15000/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15000/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15000/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15000/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15000/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15000/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15000/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2111.15340/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.15340",
|
| 3 |
+
"month": "2021_11",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "MC-SSL: Towards Multi-Concept Self-Supervised Learning",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2111.15340",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15340",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.15340",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15340/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15340/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15340/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15340/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15340/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15340/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15340/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15340/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15340/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2112.05125/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2112.05125",
|
| 3 |
+
"month": "2021_12",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Rethinking the Authorship Verification Experimental Setups",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2112.05125",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.05125",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.05125",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.05125/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.05125/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.05125/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05125/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05125/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05125/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05125/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05125/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05125/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2112.07160/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2112.07160",
|
| 3 |
+
"month": "2021_12",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "A New Perspective on the Effects of Spectrum in Graph Neural Networks",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2112.07160",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.07160",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.07160",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.07160/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.07160/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.07160/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07160/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07160/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07160/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07160/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07160/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07160/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "ok",
|
| 26 |
+
"copy_png": "ok",
|
| 27 |
+
"diagram_pdf": "ok",
|
| 28 |
+
"intro_method": "ok",
|
| 29 |
+
"paper_pdf": "ok",
|
| 30 |
+
"latex": "ok"
|
| 31 |
+
}
|
| 32 |
+
}
|
2112.08025/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2112.08025",
|
| 3 |
+
"month": "2021_12",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "AAAI",
|
| 6 |
+
"title": "TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2112.08025",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08025",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.08025",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08025/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08025/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08025/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08025/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08025/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08025/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08025/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08025/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08025/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2112.08609/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2112.08609",
|
| 3 |
+
"month": "2021_12",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2112.08609",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08609",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.08609",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08609/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08609/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08609/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08609/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08609/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08609/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08609/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08609/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08609/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2201.00520/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2201.00520",
|
| 3 |
+
"month": "2022_01",
|
| 4 |
+
"year": 2024,
|
| 5 |
+
"conference": "AAAI",
|
| 6 |
+
"title": "BVT-IMA: Binary Vision Transformer with Information-Modified Attention",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2201.00520",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.00520",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/tex_files_extracted/2201.00520",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.00520/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.00520/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.00520/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.00520/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.00520/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.00520/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.00520/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.00520/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.00520/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2201.08214/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2201.08214",
|
| 3 |
+
"month": "2022_01",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "AAAI",
|
| 6 |
+
"title": "A Latent-Variable Model for Intrinsic Probing",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2201.08214",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.08214",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/tex_files_extracted/2201.08214",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.08214/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.08214/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.08214/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.08214/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.08214/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.08214/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.08214/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.08214/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.08214/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2201.13100/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2201.13100",
|
| 3 |
+
"month": "2022_01",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "Adversarial Masking for Self-Supervised Learning",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2201.13100",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.13100",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/tex_files_extracted/2201.13100",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.13100/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.13100/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.13100/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.13100/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.13100/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.13100/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.13100/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.13100/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.13100/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2202.07028/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2202.07028",
|
| 3 |
+
"month": "2022_02",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "CVPR",
|
| 6 |
+
"title": "One Step at a Time: Long-Horizon Vision-and-Language Navigation With Milestones",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2202.07028",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.07028",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/tex_files_extracted/2202.07028",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.07028/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.07028/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.07028/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.07028/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.07028/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.07028/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.07028/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.07028/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.07028/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|
2202.12162/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2202.12162",
|
| 3 |
+
"month": "2022_02",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Measuring CLEVRness: Black-box Testing of Visual Reasoning Models",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2202.12162",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.12162",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/tex_files_extracted/2202.12162",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.12162/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.12162/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.12162/paper_text/paper.md",
|
| 14 |
+
"intro_method_from_kind": "markdown"
|
| 15 |
+
},
|
| 16 |
+
"files": {
|
| 17 |
+
"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.12162/main_diagram/main_diagram.drawio",
|
| 18 |
+
"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.12162/main_diagram/main_diagram.png",
|
| 19 |
+
"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.12162/main_diagram/main_diagram.pdf",
|
| 20 |
+
"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.12162/paper_text/intro_method.md",
|
| 21 |
+
"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.12162/paper.pdf",
|
| 22 |
+
"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.12162/latex_source"
|
| 23 |
+
},
|
| 24 |
+
"status": {
|
| 25 |
+
"copy_drawio": "exists",
|
| 26 |
+
"copy_png": "exists",
|
| 27 |
+
"diagram_pdf": "pdf_exists",
|
| 28 |
+
"intro_method": "exists",
|
| 29 |
+
"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
+
}
|
| 32 |
+
}
|