SlowGuess/NeurIPS_2023_OCR huggingface dataset:
[95] Jonathan Herzig and Jonathan Berant. Span-based semantic parsing for compositional generalization. In ACL, 2021.
[96] Henry Conklin, Bailin Wang, Kenny Smith, and Ivan Titov. Meta-learning to compositionally generalize. In ACL, 2021.
[97] Ekin Akyurek, Afra Feyza Akyurek, and Jacob Andreas. Learning to recombine and resample data for compositional generalization. In ICLR, 2021.
[98] João Loula, Marco Baroni, and Brenden Lake. Rearranging the familiar: Testing compositional generalization in recurrent networks. In EMNLP, 2018.
[99] Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, and Jonathan Berant. Improving compositional generalization in semantic parsing. In EMNLP, 2020.
[100] Peter Shaw, Ming-Wei Chang, Panupong Pasupat, and Kristina Toutanova. Compositional generalization and natural language variation: Can a semantic parsing approach handle both? In ACL, 2021.
[101] Yuval Atzmon, Jonathan Berant, Vahid Kezami, Amir Globerson, and Gal Chechik. Learning to generalize to new compositions in image understanding. arXiv preprint arXiv:1608.07639, 2016.
[102] Jiasen Lu, Jianwei Yang, Dhruv Batra, and Devi Parikh. Neural baby talk. In CVPR, 2018.
[103] Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, and Aaron Courville. Systematic generalization: What is required and can it be learned? In ICLR, 2019.
[104] Justin Johnson, Bharath Hariharan, Laurens Van Der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick. Clevr: A diagnostic dataset for compositional language and elementary visual reasoning. In CVPR, 2017.
[105] Keizo Kato, Yin Li, and Abhinav Gupta. Compositional learning for human object interaction. In ECCV, 2018.
[106] Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, and Dacheng Tao. Detecting human-object interaction via fabricated compositional learning. In CVPR, 2021.
[107] Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, and Dacheng Tao. Affordance transfer learning for human-object interaction detection. In CVPR, 2021.
[108] Emile van Krieken, Erman Acar, and Frank van Harmelen. Analyzing differentiable fuzzy logic operators. Artificial Intelligence, 302:103602, 2022.
[109] Samy Badreddine, Artur d'Avila Garcez, Luciano Serafini, and Michael Spranger. Logic tensor networks. Artificial Intelligence, 303:103649, 2022.
[110] Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dólar, and C Lawrence Zitnick. Microsoft coco: Common objects in context. In ECCV, 2014.
[111] Chen Gao, Yuliang Zou, and Jia-Bin Huang. ican: Instance-centric attention network for human-object interaction detection. In BMVC, 2018.
[112] Guangzhi Wang, Yangyang Guo, Yongkang Wong, and Mohan Kankanhalli. Chairs can be stood on: Overcoming object bias in human-object interaction detection. In ECCV, 2022.
[113] Danyang Tu, Xiongkuo Min, Huiyu Duan, Guodong Guo, Guangtao Zhai, and Wei Shen. Iwin: Human-object interaction detection via transformer with irregular windows. In ECCV, 2022.