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State-of-the-art models often make use of superficial patterns in the data that do not generalize well to out-of-domain or adversarial settings.
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
He He, Sheng Zha, and Haohan Wang. 2019 · 1908
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Training Products of Experts by Minimizing Contrastive Divergence
Geoffrey E. Hinton. 2002 · 2002
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Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
Jenny Rose Finkel, Trond Grenager, and Christopher Manning. 2005 · 2005
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Logarithmic Opinion Pools for Conditional Random Fields
Andrew Smith, Trevor Cohn, and Miles Osborne. 2005 · 2005
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Yago: A Core of Semantic Knowledge
Fabian M Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2007 · 2007
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Intriguing Properties of Neural Networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus. 2014 · 2014
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VQA: Visual Question Answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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A Large Annotated Corpus for Learning Natural Language Inference
Samuel R Bowman, Gabor Angeli, Christopher Potts, and Christopher D Manning. 2015 · 2015
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Adam: A Method for Stochastic Optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
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Highway networks
Rupesh Kumar Srivastava, Klaus Greff, and Jürgen Schmidhuber. 2015 · 2015
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Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions
Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Turney, and Daniel Khashabi. 2016 · 2016
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Censoring Representations with an Adversary
Harrison Edwards and Amos Storkey. 2016 · 2016
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Revisiting Visual Question Answering Baselines
Allan Jabri, Armand Joulin, and Laurens Van Der Maaten. 2016 · 2016
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SQuAD: 100, 000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Yin and Yang: Balancing and Answering Binary Visual Questions
Peng Zhang, Yash Goyal, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh. 2016 · 2016
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Enhanced LSTM for Natural Language Inference
Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, Hui Jiang, and Diana Inkpen. 2017 · 2017
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Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia and Percy Liang. 2017 · 2017
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TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi, Eunsol Choi, Daniel S Weld, and Luke Zettlemoyer. 2017 · 2017
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The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task
Roy Schwartz, Maarten Sap, Ioannis Konstas, Li Zilles, Yejin Choi, and Noah A Smith. 2017 · 2017
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BiDirectional Attention Flow for Machine Comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2017 · 2017
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Machine Comprehension Using Match-LSTM and Answer Pointer
Shuohang Wang and Jing Jiang. 2017 · 2017
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Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2017 · 2017
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Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
Sainandan Ramakrishnan, Aishwarya Agrawal, and Stefan Lee. 2018 · 2018
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Adversarial Removal of Gender from Deep Image Representations
Tianlu Wang, Jieyu Zhao, Kai-Wei Chang, Mark Yatskar, and Vicente Ordonez. 2018 · 2018
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Robust Machine Comprehension Models via Adversarial Training
Yicheng Wang and Mohit Bansal. 2018 · 2018
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Constructing Datasets for Multi-hop Reading Comprehension across Documents
Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
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Hotpotqa: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W Cohen, Ruslan Salakhutdinov, and Christopher D Manning. 2018 · 2018
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Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, and Aniruddha Kembhavi. 2018 · 2018
Cited alongside, same era.
Blindfold Baselines for Embodied QA
Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle, and Aaron Courville. 2018 · 2018
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Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang. 2018 · 2018
Cited alongside, same era.
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov and Yonatan Bisk. 2018 · 2018
Cited alongside, same era.
Women Also Snowboard: Overcoming Bias in Captioning Models
Kaylee Burns, Lisa Anne Hendricks, Kate Saenko, Trevor Darrell, and Anna Rohrbach. 2018 · 2018
Cited alongside, same era.
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini and David Wagner. 2018 · 2018
Cited alongside, same era.
QuAC: Question Answering in Context
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, and Luke Zettlemoyer. 2018 · 2018
Cited alongside, same era.
Swag: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
Rowan Zellers, Yonatan Bisk, Roy Schwartz, and Yejin Choi. 2018 · 2018
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On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference
Yonatan Belinkov, Adam Poliak, Stuart M Shieber, Benjamin Van Durme, and Alexander M Rush. 2019 · 2019
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Probing the Need for Visual Context in Multimodal Machine Translation
Ozan Caglayan, Pranava Madhyastha, Lucia Specia, and Loïc Barrault. 2019 · 2019
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Understanding Dataset Design Choices for Multi-hop Reasoning
Jifan Chen and Greg Durrett. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Misleading Failures of Partial-input Baselines
Shi Feng, Eric Wallace, and Jordan Boyd-Graber. 2019 · 2019
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Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects
Gabriel Grand and Yonatan Belinkov. 2019 · 2019
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Learning Not to Learn: Training Deep Neural Networks with Biased Data
Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, and Junmo Kim. 2019 · 2019
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Generative Question Answering: Learning to Answer the Whole Question
Mike Lewis and Angela Fan. 2019 · 2019
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Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
Tom McCoy, Ellie Pavlick, and Tal Linzen. 2019 · 2019
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Compositional Questions Do Not Necessitate Multi-hop Reasoning
Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2019 · 2019
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CoQA: A Conversational Question Answering Challenge
Siva Reddy, Danqi Chen, and Christopher D. Manning. 2019 · 2019
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