The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Error code: DatasetGenerationError
Exception: IndexError
Message: list index out of range
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1859, in _prepare_split_single
original_shard_lengths[original_shard_id] += len(table)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
IndexError: list index out of range
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id string | original string | number int64 | cdate int64 | mdate int64 | ddate null | tcdate int64 | tmdate int64 | tddate null | forum string | replyto string | invitation string | content unknown | signatures list | readers list | nonreaders list | writers list | forumContent unknown | pdate int64 | legacy_migration bool | active bool | pdfTransfer null | odate int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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"title": "Response to Reviewer FkFJ (4/4)",
"comment": "**Q9** Could give an intuition for why not freezing the general layers improves the acc? If there is general knowledge in those layers, why change it? How much can we modify those layers and still prevent forgetting?\n\n**A9** We thank the reviewer for the s... | [
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tqfeg7haIy | null | 380,165 | 1,546,300,800,000 | 1,665,441,016,076 | null | 1,665,441,016,076 | 1,744,036,491,564 | null | tqfeg7haIy | null | dblp.org/-/record | {
"venue": "CoRR 2019",
"venueid": "dblp.org/journals/CORR/2019",
"_bibtex": "@article{DBLP:journals/corr/abs-1906-04567,\n publtype={informal},\n author={Patrick Dendorfer and Seyed Hamid Rezatofighi and Anton Milan and Javen Shi and Daniel Cremers and Ian D. Reid and Stefan Roth and Konrad Schindler and Laura... | [
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hncYW968MIH | null | 360,704 | 1,546,300,800,000 | 1,663,272,418,464 | null | 1,663,272,418,464 | 1,663,304,182,276 | null | hncYW968MIH | null | dblp.org/-/record | {
"venue": "CoRR 2019",
"venueid": "dblp.org/journals/CORR/2019",
"_bibtex": "@article{DBLP:journals/corr/abs-1906-04567,\n publtype={informal},\n author={Patrick Dendorfer and Seyed Hamid Rezatofighi and Anton Milan and Javen Shi and Daniel Cremers and Ian D. Reid and Stefan Roth and Konrad Schindler and Laura... | [
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"everyone"
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"dblp.org"
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rJgtXKEv9Q | null | 2 | 1,538,898,209,098 | null | null | 1,538,898,209,098 | 1,538,898,893,184 | null | HklyMhCqYQ | HklyMhCqYQ | ICLR.cc/2019/Conference/-/Paper1226/Public_Comment | {
"comment": "I enjoyed reading your paper, your approach is quite novel in my opinion. One question: why is the dataset used for evaluation in your paper not those commonly used for testing super resolution algorithms? The commonly used datasets for image super-resolution are BSD100, Urban100 and DIV2K, as in SRGAN ... | [
"(anonymous)"
] | [
"everyone"
] | [
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"(anonymous)",
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W-KO3Ulc8u | null | 4 | 1,635,794,028,246 | null | null | 1,635,794,028,246 | 1,635,794,065,220 | null | TBWA6PLJZQm | TBWA6PLJZQm | ICLR.cc/2022/Conference/Paper499/-/Official_Review | {
"summary_of_the_paper": "The paper provides an extensive study on 1) the difference between human annotations and synthetic ones and 2) the impact on the classifier learning from human annotations and synthetic ones. To this end, the paper crowdsources the human annotations for CIFAR10 and CIFAR100 from Amazon Mech... | [
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nwvXuJDknQr | null | 4 | 1,626,463,670,572 | null | null | 1,626,463,670,572 | 1,626,463,670,572 | null | HhUmPH22Vpn | HhUmPH22Vpn | NeurIPS.cc/2021/Conference/Paper8643/-/Official_Review | {
"rating": "4: Ok but not good enough - rejection",
"confidence": "5: You are absolutely certain about your assessment. You are very familiar with the related work and checked the math/other details carefully.",
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y4sz8IgD72 | null | 949,273 | 1,672,531,200,000 | 1,699,605,759,464 | null | 1,699,605,759,464 | 1,753,596,391,605 | null | y4sz8IgD72 | null | dblp.org/-/record | {
"venue": "CoRR 2023",
"venueid": "dblp.org/journals/CORR/2023",
"_bibtex": "@article{DBLP:journals/corr/abs-2310-16003,\n publtype={informal},\n author={Jay Zhangjie Wu and Xiuyu Li and Difei Gao and Zhen Dong and Jinbin Bai and Aishani Singh and Xiaoyu Xiang and Youzeng Li and Zuwei Huang and Yuanxi Sun and ... | [
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vM95I1XZsc | null | 513,848 | 1,577,836,800,000 | 1,668,444,191,230 | null | 1,668,444,191,230 | 1,741,152,620,959 | null | vM95I1XZsc | null | dblp.org/-/record | {
"venue": "CoRR 2020",
"venueid": "dblp.org/journals/CORR/2020",
"_bibtex": "@article{DBLP:journals/corr/abs-2004-05966,\n publtype={informal},\n author={Sibo Zhang and Yuexin Ma and Ruigang Yang and Xin Li and Yanliang Zhu and Deheng Qian and Zetong Yang and Wenjing Zhang and Yuanpei Liu},\n title={CVPR 2019... | [
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XJ0AHUTDsKm | null | 475,898 | 1,577,836,800,000 | 1,668,050,807,999 | null | 1,668,050,807,999 | 1,686,441,630,670 | null | XJ0AHUTDsKm | null | dblp.org/-/record | {
"venue": "CoRR 2020",
"venueid": "dblp.org/journals/CORR/2020",
"_bibtex": "@article{DBLP:journals/corr/abs-2004-05966,\n publtype={informal},\n author={Sibo Zhang and Yuexin Ma and Ruigang Yang and Xin Li and Yanliang Zhu and Deheng Qian and Zetong Yang and Wenjing Zhang and Yuanpei Liu},\n title={CVPR 2019... | [
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] | [
"everyone"
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L6Dg9T-QCcr | null | 482,383 | 1,577,836,800,000 | 1,668,079,049,287 | null | 1,668,079,049,287 | 1,675,210,488,132 | null | L6Dg9T-QCcr | null | dblp.org/-/record | {
"venue": "CoRR 2020",
"venueid": "dblp.org/journals/CORR/2020",
"_bibtex": "@article{DBLP:journals/corr/abs-2004-05966,\n publtype={informal},\n author={Sibo Zhang and Yuexin Ma and Ruigang Yang and Xin Li and Yanliang Zhu and Deheng Qian and Zetong Yang and Wenjing Zhang and Yuanpei Liu},\n title={CVPR 2019... | [
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1ThMRN78_S3 | null | 2 | 1,628,528,973,182 | null | null | 1,628,528,973,182 | 1,628,568,034,385 | null | x4t0fxWPNdi | Jocy8S8wgEa | NeurIPS.cc/2021/Conference/Paper5290/-/Official_Comment | {
"title": "Response to Reviewer#1 bkFN",
"comment": "Thanks for your nice summary and positive comments on our novelty and contributions! In the following, we give detailed response to your comments one by one.\n\n>*1. +/- Ablation study has been performed to analyze the benefit of the different modules. The scale... | [
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oVBePVh1hWC | null | 5 | 1,628,530,032,478 | null | null | 1,628,530,032,478 | 1,628,567,627,952 | null | x4t0fxWPNdi | mU_tCp25pFX | NeurIPS.cc/2021/Conference/Paper5290/-/Official_Comment | {
"title": "Response to Reviewer#4 vvmM",
"comment": "Thanks for your nice summary and positive comments on our method and results! In the following, we give detailed response to your comments one by one.\n\n> *A proper motivation of the proposed methods is needed.\n a) The transformer-like formulation in (2) is pr... | [
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uRY1ihbaWT7 | null | 2 | 1,628,592,494,385 | null | null | 1,628,592,494,385 | 1,629,204,519,768 | null | HhUmPH22Vpn | nwvXuJDknQr | NeurIPS.cc/2021/Conference/Paper8643/-/Official_Comment | {
"title": "Response to Reviewer em8a",
"comment": "We first would like to thank the reviewer for giving us valuable comments. \n\n1. **Q**: The attention module follows PREDATOR's transformer. The encoder module is the coarse step and the decoder module is the fine step in this submission. Based on my understandin... | [
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Vhrv33_6A8H | null | 552,628 | 1,451,606,400,000 | 1,668,773,831,474 | null | 1,668,773,831,474 | 1,691,177,041,607 | null | Vhrv33_6A8H | null | dblp.org/-/record | {
"venue": "CoRR 2016",
"venueid": "dblp.org/journals/CORR/2016",
"_bibtex": "@article{DBLP:journals/corr/KataokaMYSSHKAI16,\n publtype={informal},\n author={Hirokatsu Kataoka and Yudai Miyashita and Tomoaki K. Yamabe and Soma Shirakabe and Shin-ichi Sato and Hironori Hoshino and Ryo Kato and Kaori Abe and Taka... | [
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HJgyBkE8j4 | null | 11 | 1,556,655,927,342 | null | null | 1,556,655,927,342 | 1,556,655,927,342 | null | r1ejxnCctX | r1ejxnCctX | ICLR.cc/2019/Conference/-/Paper1107/Official_Comment | {
"title": "This paper will be presented at CVPR 2019",
"comment": "This paper will appear at CVPR 2019. \n\nThe final version of the paper is available on arXiv: https://arxiv.org/abs/1810.01455\nWe have made code available on GitHub: https://github.com/piergiaj/representation-flow-cvpr19\n\nSome visualizations of... | [
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-MvT-h3KA0 | null | 4 | 1,628,529,529,405 | null | null | 1,628,529,529,405 | 1,628,567,856,907 | null | x4t0fxWPNdi | qVEStyDxcio | NeurIPS.cc/2021/Conference/Paper5290/-/Official_Comment | {
"title": "Response to Reviewer#3 2ePa",
"comment": "Thanks for your nice summary of our work! In the following, we give detailed response to your comments one by one.\n\n>*The method is described well. The experiments show that the method can perform well in terms of quantitative analysis and qualitative comparis... | [
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Byx4oeYW9B | null | 3 | 1,572,077,724,297 | null | null | 1,572,077,724,297 | 1,572,972,624,980 | null | Hkgpnn4YvH | Hkgpnn4YvH | ICLR.cc/2020/Conference/Paper208/-/Official_Review | {
"experience_assessment": "I have published in this field for several years.",
"rating": "3: Weak Reject",
"review_assessment:_thoroughness_in_paper_reading": "I read the paper at least twice and used my best judgement in assessing the paper.",
"review_assessment:_checking_correctness_of_experiments": "I caref... | [
"ICLR.cc/2020/Conference/Paper208/AnonReviewer1"
] | [
"everyone"
] | [] | [
"ICLR.cc/2020/Conference/Paper208/AnonReviewer1"
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cHrUa4ZV_5H | null | 3 | 1,635,916,805,001 | null | null | 1,635,916,805,001 | 1,635,916,805,001 | null | o8iGesI9HN- | o8iGesI9HN- | ICLR.cc/2022/Conference/Paper1780/-/Official_Review | {
"summary_of_the_paper": "The convolution operator is the fundamental unit of most modern DNNs. This paper summarizes the existing (efficient) convolution operators and formulates an optimization problem to choose a few important parameters for the convolution. The authors show that their convolution under certain c... | [
"ICLR.cc/2022/Conference/Paper1780/Reviewer_bjqr"
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NMb0kMnuDG | null | 958,832 | 1,672,531,200,000 | 1,699,853,212,979 | null | 1,699,853,212,979 | 1,769,162,579,511 | null | NMb0kMnuDG | null | dblp.org/-/record | {
"venue": "CoRR 2023",
"venueid": "dblp.org/journals/CORR/2023",
"_bibtex": "@article{DBLP:journals/corr/abs-2306-14412,\n publtype={informal},\n author={Chao Zhang and Shiwei Wu and Sirui Zhao and Tong Xu and Enhong Chen},\n title={A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Infere... | [
"~Sirui_Zhao1"
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] | [] | [
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] | null | 1,672,531,200,000 | null | null | null | null |
tjJ4RJr9kDi | null | 8 | 1,637,571,563,823 | 1,637,571,563,823 | null | 1,637,571,563,823 | 1,637,571,563,823 | null | SHnXjI3vTJ | YfM9HbXSLlW | ICLR.cc/2022/Conference/Paper1480/-/Official_Comment | {
"title": "Additional experimental results",
"comment": "As your suggested, we have added performance comparison with two extra papers that you mentioned: EGNN and DPGN methods. As shown in Table 1, our method is able to outperform the DPGN (CVPR20) by 10.78% on 1-shot learning, and outperform the EGNN (CVPR19) by... | [
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hZWt0O0gq7H | null | 6 | 1,668,843,687,084 | 1,668,843,687,084 | null | 1,668,843,687,084 | 1,668,843,687,084 | null | PLUXnnxUdr4 | lRPXBAC7GI | ICLR.cc/2023/Conference/Paper578/-/Official_Comment | {
"title": "Response to Reviewer Cq4q (Part 1/3)",
"comment": "Thanks for your precious time reading this paper. We are delighted that you found the paper technically sound and easy to follow. And your constructive suggestions are of great help to us.\n\nPlease refer to the detailed response below, regarding the co... | [
"ICLR.cc/2023/Conference/Paper578/Authors"
] | [
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] | [] | [
"ICLR.cc/2023/Conference",
"ICLR.cc/2023/Conference/Paper578/Authors"
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SbN4-6gF8xc | null | 309,433 | 1,640,995,200,000 | 1,645,805,752,551 | null | 1,645,805,752,551 | 1,646,093,744,270 | null | SbN4-6gF8xc | null | dblp.org/-/record | {
"venue": "Artif. Intell. 2022",
"venueid": "dblp.org/journals/AI/2022",
"_bibtex": "@article{DBLP:journals/ai/LomonacoPRCSCJW22,\n author={Vincenzo Lomonaco and Lorenzo Pellegrini and Pau Rodríguez and Massimo Caccia and Qi She and Yu Chen and Quentin Jodelet and Ruiping Wang and Zheda Mai and David Vázquez an... | [
"~David_Vazquez1"
] | [
"everyone"
] | [] | [
"dblp.org"
] | null | null | null | null | null | null |
fUjYCvfu0A | null | 640,718 | 1,577,836,800,000 | 1,682,317,828,177 | null | 1,682,317,828,177 | 1,762,684,219,926 | null | fUjYCvfu0A | null | dblp.org/-/record | {
"venue": "CoRR 2020",
"venueid": "dblp.org/journals/CORR/2020",
"_bibtex": "@article{DBLP:journals/corr/abs-2009-09929,\n publtype={informal},\n author={Vincenzo Lomonaco and Lorenzo Pellegrini and Pau Rodríguez and Massimo Caccia and Qi She and Yu Chen and Quentin Jodelet and Ruiping Wang and Zheda Mai and D... | [
"~Pau_Rodriguez_Lopez1"
] | [
"everyone"
] | [] | [
"dblp.org"
] | null | null | null | null | null | null |
r5NlpgYLg9 | null | 309,374 | 1,577,836,800,000 | 1,645,805,752,469 | null | 1,645,805,752,469 | 1,667,094,409,317 | null | r5NlpgYLg9 | null | dblp.org/-/record | {
"venue": "CoRR 2020",
"venueid": "dblp.org/journals/CORR/2020",
"_bibtex": "@article{DBLP:journals/corr/abs-2009-09929,\n publtype={informal},\n author={Vincenzo Lomonaco and Lorenzo Pellegrini and Pau Rodríguez and Massimo Caccia and Qi She and Yu Chen and Quentin Jodelet and Ruiping Wang and Zheda Mai and D... | [
"~David_Vazquez1"
] | [
"everyone"
] | [] | [
"dblp.org"
] | null | null | null | null | null | null |
mptiuPJ-Pxx | null | 874,725 | 1,672,531,200,000 | 1,693,906,394,032 | null | 1,693,906,394,032 | 1,747,881,165,616 | null | mptiuPJ-Pxx | null | dblp.org/-/record | {
"venue": "CoRR 2023",
"venueid": "dblp.org/journals/CORR/2023",
"_bibtex": "@article{DBLP:journals/corr/abs-2306-13380,\n publtype={informal},\n author={Tom Tongjia Chen and Hongshan Yu and Zhengeng Yang and Ming Li and Zechuan Li and Jingwen Wang and Wei Miao and Wei Sun and Chen Chen},\n title={First Place... | [
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3XsOvr-wBf | null | 505,450 | 1,577,836,800,000 | 1,668,238,835,600 | null | 1,668,238,835,600 | 1,768,270,384,515 | null | 3XsOvr-wBf | null | dblp.org/-/record | {
"venue": "CoRR 2020",
"venueid": "dblp.org/journals/CORR/2020",
"_bibtex": "@article{DBLP:journals/corr/abs-2007-05683,\n publtype={informal},\n author={Zheda Mai and Hyunwoo Kim and Jihwan Jeong and Scott Sanner},\n title={Batch-level Experience Replay with Review for Continual Learning},\n year={2020},\n ... | [
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"everyone"
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nnVDC94YZ2 | null | 2 | 1,635,881,584,328 | null | null | 1,635,881,584,328 | 1,635,881,584,328 | null | UYDtmk6BMf5 | UYDtmk6BMf5 | ICLR.cc/2022/Conference/Paper1230/-/Official_Review | {
"summary_of_the_paper": "The paper proposes an OOD setting emphasizing on texture and semantics. The authors propose an OOD detection method which disentangles texture and semantics. The method achieves SoA performances.",
"main_review": "Strengths:\n- The separation of texture and semantics is reasonable\n- SoA ... | [
"ICLR.cc/2022/Conference/Paper1230/Reviewer_7WrH"
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"everyone"
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92qySwsU9z | null | 1 | 1,635,838,499,233 | null | null | 1,635,838,499,233 | 1,638,173,985,430 | null | SHnXjI3vTJ | SHnXjI3vTJ | ICLR.cc/2022/Conference/Paper1480/-/Official_Review | {
"summary_of_the_paper": "[1] This paper follows the line of metric-based few-shot learning methods with GNNs. The novelty of this paper is to design dual GNN graphs to capture the consistency of label prediction from the support set to the query set and its reversible task (from the query set to the support set).\n... | [
"ICLR.cc/2022/Conference/Paper1480/Reviewer_qJDP"
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P6P2nbSAtHu | null | 7 | 1,659,470,168,378 | null | null | 1,659,470,168,378 | 1,659,471,219,732 | null | NM3AbzX-dq | RnFppHBIyA | NeurIPS.cc/2022/Conference/Paper9071/-/Official_Comment | {
"title": "Response to Reviewer k5T6 (3/3)",
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D3Ob4oWDqX | null | 100,699 | 915,148,800,000 | null | null | 1,588,686,050,133 | 1,668,010,883,434 | null | D3Ob4oWDqX | null | dblp.org/-/record | {
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OXFv3cJ1zgI | null | 100,733 | 820,454,400,000 | null | null | 1,588,686,050,185 | 1,668,010,792,187 | null | OXFv3cJ1zgI | null | dblp.org/-/record | {
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Cw4y2t-QIY45 | null | 100,753 | 852,076,800,000 | null | null | 1,588,686,050,266 | 1,668,010,736,327 | null | Cw4y2t-QIY45 | null | dblp.org/-/record | {
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HQ1dMfxxvS1 | null | 109,959 | 1,293,840,000,000 | null | null | 1,588,868,423,875 | 1,719,496,643,187 | null | HQ1dMfxxvS1 | null | dblp.org/-/record | {
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BiU-boNe_6S | null | 90,137 | 1,451,606,400,000 | null | null | 1,575,646,360,550 | 1,668,048,111,760 | null | BiU-boNe_6S | null | dblp.org/-/record | {
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RLp1VadqKK | null | 97,334 | 1,262,304,000,000 | null | null | 1,583,166,046,782 | 1,668,025,016,873 | null | RLp1VadqKK | null | dblp.org/-/record | {
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eTrceFY9Rgo8 | null | 100,731 | 1,262,304,000,000 | null | null | 1,588,686,050,176 | 1,668,010,798,005 | null | eTrceFY9Rgo8 | null | dblp.org/-/record | {
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"title": "Responses to Reviewer SJwM",
"comment": "We thank the reviewers' comments and suggestions. We're happy to see our idea is interesting.\nWhat's more, this interesting idea is motivated by the optimal transport theory(part A of supplementary materials) , whose asymptotic properties are analytically analyz... | [
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"title": "To Reviewer zHVw (2/2)",
"comment": "\n**Q3:** How does these interpretability compared to human interpretability? How does these interpretability contribute to the model predictions? \n\n**A3:** Sorry for the confusion. We have revised Section 3.4 to give a detailed description of the interpretability.... | [
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JLFar4V5d | null | 97,404 | 1,230,768,000,000 | null | null | 1,583,166,047,255 | 1,668,024,810,868 | null | JLFar4V5d | null | dblp.org/-/record | {
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aailkVAt1- | null | 99,713 | 1,199,145,600,000 | null | null | 1,587,778,634,041 | 1,668,014,605,388 | null | aailkVAt1- | null | dblp.org/-/record | {
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Gy-lsx3Ojtn | null | 99,906 | 1,199,145,600,000 | null | null | 1,587,778,634,995 | 1,668,014,030,399 | null | Gy-lsx3Ojtn | null | dblp.org/-/record | {
"venue": "CVPR2008",
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hBb1pr4dF7fU | null | 100,743 | 1,199,145,600,000 | null | null | 1,588,686,050,200 | 1,668,010,760,932 | null | hBb1pr4dF7fU | null | dblp.org/-/record | {
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"title": "Continued from previous responses",
"comment": "Q2-1: Fusing more scans?\n\n- We conducted the suggested experiments by increasing the mixed LiDAR scans and benchmarking them with no mixing. The experiments were conducted with SPVCNN that is trained with sequence 00 of SemanticKITTI. As Table G shows, m... | [
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JKqfs7aBkl | null | 913,491 | 1,672,531,200,000 | 1,699,142,691,857 | null | 1,699,142,691,857 | 1,744,382,827,296 | null | JKqfs7aBkl | null | dblp.org/-/record | {
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"dblp.org"
] | [
"everyone"
] | [] | [
"dblp.org"
] | null | null | null | null | null | null |
obPcCcSvhKovH | null | 3 | null | null | null | 1,362,369,360,000 | 1,362,369,360,000 | null | l_PClqDdLb5Bp | l_PClqDdLb5Bp | ICLR.cc/2013/-/submission/review | {
"title": "",
"review": "Another minor comment related to the visualization method: since there is no iterative 'inference' step typical of deconv. nets (the features are already given by a direct forward pass) then this method is perhaps more similar to this old paper of mine:\r\nM. Ranzato, F.J. Huang, Y. Bourea... | [
"Marc'Aurelio Ranzato"
] | [
"everyone"
] | [] | [
"anonymous"
] | {
"title": "Stochastic Pooling for Regularization of Deep Convolutional Neural\r\n Networks",
"decision": "conferenceOral-iclr2013-conference",
"abstract": "We introduce a simple and effective method for regularizing large convolutional neural networks. We replace the conventional deterministic pooling operati... | null | true | null | null | null |
Bk4W10Zubr | null | 60,186 | 1,072,915,200,000 | null | null | 1,563,069,913,296 | 1,668,115,171,062 | null | Bk4W10Zubr | null | dblp.org/-/record | {
"venue": "CVPR Workshops 2004",
"venueid": "dblp.org/conf/CVPR/2004",
"_bibtex": "@inproceedings{DBLP:conf/cvpr/HoogsM04,\n author={Anthony Hoogs and Gérard G. Medioni},\n title={An Overview of the 2004 Workshop on Perceptual Organization in Computer Vision},\n year={2004},\n cdate={1072915200000},\n pages... | [
"dblp.org"
] | [
"everyone"
] | [] | [
"dblp.org"
] | null | null | null | null | null | null |
5rKXC16fitgy | null | 110,018 | 1,167,609,600,000 | null | null | 1,588,868,424,094 | 1,719,496,647,434 | null | 5rKXC16fitgy | null | dblp.org/-/record | {
"venue": "CVPR2007",
"venueid": "dblp.org/conf/CVPR/2007",
"_bibtex": "@inproceedings{DBLP:conf/cvpr/BuchananF07,\n author={Aeron Buchanan and Andrew W. Fitzgibbon},\n title={Combining local and global motion models for feature point tracking.},\n year={2007},\n cdate={1167609600000},\n url={https://doi.or... | [
"dblp.org"
] | [
"everyone"
] | [] | [
"dblp.org"
] | null | null | null | null | null | null |
introducing open-review, we have rewritten internal _api calls and collected metadata for all the major conferences i.e. ICLR, ICML, CVPR. we are releasing this dataset on HF and willing to work close to open-rewview team to abuse of their API.
why/we made this dataset
we wanted to have a personal database for open-review papers for point-of-interest conf, and we wanted to stress test how far, open-review have reached security after last year breach.
will we share code
no, we don't share code that can be used to exploit bugs, we respect community run projects and willing to work with teams to make internet a better place.
how to reach
email: research@sleeping-ai.com and it is being published under Project Uncertainty.
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