Adversarial Filters of Dataset Biases

10 February 2020

Yejin Choi

Papers citing "Adversarial Filters of Dataset Biases"

50 / 52 papers shown

Title
Pushing the boundary on Natural Language Inference Pablo Miralles-González Javier Huertas-Tato Alejandro Martín David Camacho LRM 118 0 0 25 Apr 2025
The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation Jie He Tao Wang Deyi Xiong Qun Liu ELM LRM 116 29 0 05 Mar 2025
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management Xiahua Wei Naveen Kumar Han Zhang 81 6 0 22 Jan 2025
Improving Model Evaluation using SMART Filtering of Benchmark Datasets Vipul Gupta Candace Ross David Pantoja R. Passonneau Megan Ung Adina Williams 202 1 0 26 Oct 2024
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 172 375 0 09 May 2020
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance R. Thomas McCoy Junghyun Min Tal Linzen 68 150 0 07 Nov 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding Yixin Nie Adina Williams Emily Dinan Joey Tianyi Zhou Jason Weston Douwe Kiela 91 991 0 31 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 183 3,458 0 30 Sep 2019
End-to-End Bias Mitigation by Modelling Biases in Corpora Rabeeh Karimi Mahabadi Yonatan Belinkov James Henderson 104 177 0 13 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases Christopher Clark Mark Yatskar Luke Zettlemoyer OOD 56 463 0 09 Sep 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual He He Sheng Zha Haohan Wang 43 198 0 28 Aug 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 311 323 0 21 Aug 2019
Abductive Commonsense Reasoning Chandra Bhagavatula Ronan Le Bras Chaitanya Malaviya Keisuke Sakaguchi Ari Holtzman Hannah Rashkin Doug Downey Scott Yih Yejin Choi ReLM LRM 43 456 0 15 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 387 24,160 0 26 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 164 1,454 0 16 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush 46 95 0 09 Jul 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 144 2,190 0 05 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 81 17,950 0 28 May 2019
HellaSwag: Can a Machine Really Finish Your Sentence? Rowan Zellers Ari Holtzman Yonatan Bisk Ali Farhadi Yejin Choi 64 2,373 0 19 May 2019
REPAIR: Removing Representation Bias by Dataset Resampling Yi Li Nuno Vasconcelos FaML 35 287 0 16 Apr 2019
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets Nelson F. Liu Roy Schwartz Noah A. Smith AAML 48 106 0 04 Apr 2019
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement W. Kool H. V. Hoof Max Welling 99 218 0 14 Mar 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference R. Thomas McCoy Ellie Pavlick Tal Linzen 111 1,226 0 04 Feb 2019
Are All Training Examples Created Equal? An Empirical Study Kailas Vodrahalli Ke Li Jitendra Malik 32 59 0 30 Nov 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 75 2,647 0 29 Nov 2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 78 299 0 28 Nov 2018
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 60 295 0 27 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 870 93,936 0 11 Oct 2018
Adversarial Removal of Demographic Attributes from Text Data Yanai Elazar Yoav Goldberg FaML 61 305 0 20 Aug 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference Rowan Zellers Yonatan Bisk Roy Schwartz Yejin Choi 68 710 0 16 Aug 2018
Stress Test Evaluation for Natural Language Inference Aakanksha Naik Abhilasha Ravichander Norman M. Sadeh Carolyn Rose Graham Neubig ELM 56 375 0 02 Jun 2018
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 221 579 0 02 May 2018
Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment Masatoshi Tsuchiya 45 160 0 22 Apr 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 574 7,080 0 20 Apr 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 91 1,167 0 06 Mar 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 99 11,520 0 15 Feb 2018
Evaluating Compositionality in Sentence Embeddings Ishita Dasgupta Demi Guo Andreas Stuhlmuller S. Gershman Noah D. Goodman CoGe 43 121 0 12 Feb 2018
From Lifestyle Vlogs to Everyday Interactions David Fouhey Weicheng Kuo Alexei A. Efros Jitendra Malik 46 124 0 06 Dec 2017
Robust Physical-World Attacks on Deep Learning Models Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Chaowei Xiao Atul Prakash Tadayoshi Kohno D. Song AAML 37 594 0 27 Jul 2017
Adversarial Examples for Evaluating Reading Comprehension Systems Robin Jia Percy Liang AAML ELM 178 1,594 0 23 Jul 2017
Lost Relatives of the Gumbel Trick Matej Balog Nilesh Tripuraneni Zoubin Ghahramani Adrian Weller 43 27 0 13 Jun 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 376 4,444 0 18 Apr 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 285 3,187 0 02 Dec 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 212 5,323 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 102 2,518 0 02 Nov 2016
Enhanced LSTM for Natural Language Inference Qian Chen Xiao-Dan Zhu Zhenhua Ling Si Wei Hui Jiang Diana Inkpen LRM ReLM 67 1,128 0 20 Sep 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 135 8,067 0 16 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.3K 192,638 0 10 Dec 2015
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 211 4,256 0 21 Aug 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 678 149,474 0 22 Dec 2014