SlowGuess/ACL_2020_OCR huggingface dataset:
Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, and Balaji Lakshminarayanan. 2020. AugMix: A simple data processing method to improve robustness and uncertainty. ICLR.
Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, and Dawn Song. 2019d. Natural adversarial examples. ArXiv, abs/1907.07174.
Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. In Neural Computation.
Robin Jia and Percy Liang. 2017. Adversarial examples for evaluating reading comprehension systems. In EMNLP.
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020. ALBERT: a lite BERT for self-supervised learning of language representations. In ICLR.
Ken Lang. 1995. NewsWeeder: Learning to filter Netnews. In ICML.
Kimin Lee, Honglak Lee, Kibok Lee, and Jinwoo Shin. 2018. Training confidence-calibrated classifiers for detecting out-of-distribution samples. In ICLR.
Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, and Joseph E Gonzalez. 2020. Train large, then compress: Rethinking model size for efficient training and inference of transformers. ArXiv, abs/2002.11794.
Nelson F Liu, Roy Schwartz, and Noah A Smith. 2019a. Inoculation by fine-tuning: A method for analyzing challenge datasets. In NAACL.
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019b. RoBERTa: A robustly optimized BERT pretraining approach. ArXiv, abs/1907.11692.
Andrew L Maas, Raymond E Daly, Peter T Pham, Dan Huang, Andrew Y Ng, and Christopher Potts. 2011. Learning word vectors for sentiment analysis. In ACL.
Julian J. McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel. 2015. Image-based recommendations on styles and substitutes. In SIGIR.
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In NIPS.
Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2019. Compositional questions do not necessitate multi-hop reasoning. In ACL.
Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh, Carolyn Rose, and Graham Neubig. 2018. Stress test evaluation for natural language inference. In COLING.
A. Emin Orhan. 2019. Robustness properties of facebook's ResNeXt WSL models. ArXiv, abs/1907.07640.
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. GloVe: Global vectors for word representation. In EMNLP.
Joaquin Quionero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence. 2009. Dataset shift in machine learning.
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. 2018. Semantically equivalent adversarial rules for debugging NLP models. In ACL.
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019. DistilBERT, a distilled version of bert: smaller, faster, cheaper and lighter. In NeurIPS EMC $^2$  Workshop.
Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W Mahoney, and Kurt Keutzer. 2020. Q-BERT: Hessian based ultra low precision quantization of BERT.
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D Manning, Andrew Ng, and Christopher Potts. 2013. Recursive deep models for semantic compositionality over a sentiment treebank. In EMNLP.
Antonio Torralba and Alexei A. Efros. 2011. Unbiased look at dataset bias. CVPR.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In NIPS.
Eric Wallace, Shi Feng, Nikhil Kandpal, Matthew Gardner, and Sameer Singh. 2019. Universal adversarial triggers for attacking and analyzing NLP. In EMNLP.
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2019. GLUE: A multitask benchmark and analysis platform for natural language understanding. In ICLR.
John Wieting, Mohit Bansal, Kevin Gimpel, and Karen Livescu. 2016. Towards universal paraphrastic sentence embeddings. In ICLR.
Adina Williams, Nikita Nangia, and Samuel R Bowman. 2018. A broad-coverage challenge corpus for sentence understanding through inference. In *NAACL-HLT*.
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumont, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, and Jamie Brew. 2019. HuggingFace's Transformers: State-of-the-art natural language processing. ArXiv, abs/1910.03771.
Cihang Xie and Alan L. Yuille. 2020. Intriguing properties of adversarial training at scale. In *ICLR*.
Qizhe Xie, Eduard H. Hovy, Minh-Thang Luong, and Quoc V. Le. 2020. Self-training with noisy student improves imagenet classification. In CVPR.
Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor, Tomás Kocisky, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, and Phil Blunsom. 2019. Learning and evaluating general linguistic intelligence. ArXiv, abs/1901.11373.
Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, and Benjamin Van Durme. 2018. ReCoRD: bridging the gap between human and machine commonsense reading comprehension. arXiv, abs/1810.12885.