Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

9 September 2019

Luke Zettlemoyer

Papers citing "Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases"

50 / 128 papers shown

Title
Revisiting the Importance of Amplifying Bias for Debiasing Jungsoo Lee Jeonghoon Park Daeyoung Kim Juyoung Lee Edward Choi Jaegul Choo 57 22 0 29 May 2022
On the Paradox of Learning to Reason from Data Honghua Zhang Liunian Harold Li Tao Meng Kai-Wei Chang Mathias Niepert NAI ReLM OOD LRM 140 104 0 23 May 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 24 20 0 28 Apr 2022
Unsupervised Learning of Unbiased Visual Representations C. Barbano Enzo Tartaglione Marco Grangetto SSL CML OOD 39 1 0 26 Apr 2022
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation Vivian Lai Samuel Carton Rajat Bhatnagar Vera Liao Yunfeng Zhang Chenhao Tan 31 130 0 25 Apr 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 35 13 0 05 Apr 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 37 67 0 24 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness Tejas Gokhale Swaroop Mishra Man Luo Bhavdeep Singh Sachdeva Chitta Baral 52 29 0 15 Mar 2022
A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach Xiaohan Lan Yitian Yuan Xin Eric Wang Long Chen Zhi Wang Lin Ma Wenwu Zhu CML 29 15 0 10 Mar 2022
Handling Bias in Toxic Speech Detection: A Survey Tanmay Garg Sarah Masud Tharun Suresh Tanmoy Chakraborty 17 91 0 26 Jan 2022
Unveiling Project-Specific Bias in Neural Code Models Zhiming Li Yanzhou Li Tianlin Li Mengnan Du Bozhi Wu Yushi Cao Yi Li Yang Liu 36 5 0 19 Jan 2022
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound Rowan Zellers Jiasen Lu Ximing Lu Youngjae Yu Yanpeng Zhao Mohammadreza Salehi Aditya Kusupati Jack Hessel Ali Farhadi Yejin Choi 48 207 0 07 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions Marwan Omar Soohyeon Choi Daehun Nyang David A. Mohaisen 32 57 0 03 Jan 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Reducing Target Group Bias in Hate Speech Detectors Darsh J. Shah Sinong Wang Han Fang Hao Ma Luke Zettlemoyer FaML 31 2 0 07 Dec 2021
Language bias in Visual Question Answering: A Survey and Taxonomy Desen Yuan 30 12 0 16 Nov 2021
Towards Debiasing Temporal Sentence Grounding in Video Hao Zhang Aixin Sun Wei Jing Qiufeng Wang 50 16 0 08 Nov 2021
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features Haohan Wang Zeyi Huang Hanlin Zhang Yong Jae Lee Eric P. Xing OOD 138 16 0 05 Nov 2021
Introspective Distillation for Robust Question Answering Yulei Niu Hanwang Zhang 27 59 0 01 Nov 2021
Perceptual Score: What Data Modalities Does Your Model Perceive? Itai Gat Idan Schwartz Alex Schwing 36 30 0 27 Oct 2021
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models Tianlu Wang Rohit Sridhar Diyi Yang Xuezhi Wang AAML 120 72 0 14 Oct 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates Xiaochuang Han Yulia Tsvetkov TDI 31 30 0 07 Oct 2021
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering Long Chen Yuhang Zheng Yulei Niu Hanwang Zhang Jun Xiao AAML OOD 21 36 0 03 Oct 2021
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation Md. Akmal Haidar Nithin Anchuri Mehdi Rezagholizadeh Abbas Ghaddar Philippe Langlais Pascal Poupart 31 22 0 21 Sep 2021
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering Jihyung Kil Cheng Zhang D. Xuan Wei-Lun Chao 61 20 0 13 Sep 2021
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding Shane Storks Qiaozi Gao Yichi Zhang J. Chai ReLM LRM 49 22 0 10 Sep 2021
An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model Kijong Han Seojin Lee Wooin Lee Joosung Lee Donghun Lee AAML 25 5 0 10 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible Michael J. Mendelson Yonatan Belinkov 45 23 0 09 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training Abbas Ghaddar Philippe Langlais Mehdi Rezagholizadeh Ahmad Rashid UQCV 34 36 0 05 Sep 2021
On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering K. Gouthaman Anurag Mittal CML 45 0 0 28 Aug 2021
Interpreting Face Inference Models using Hierarchical Network Dissection Divyang Teotia Àgata Lapedriza Sarah Ostadabbas CVBM 31 3 0 23 Aug 2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation Eungyeup Kim Jihyeon Janel Lee Jaegul Choo 29 87 0 23 Aug 2021
Causal Attention for Unbiased Visual Recognition Tan Wang Chan Zhou Qianru Sun Hanwang Zhang OOD CML 34 109 0 19 Aug 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 68 48 0 06 Aug 2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 39 43 0 24 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation Jungsoo Lee Eungyeup Kim Juyoung Lee Jihyeon Janel Lee Jaegul Choo CML 19 149 0 03 Jul 2021
An Investigation of the (In)effectiveness of Counterfactually Augmented Data Nitish Joshi He He OODD 21 46 0 01 Jul 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 34 65 0 29 Jun 2021
False perfection in machine prediction: Detecting and assessing circularity problems in machine learning Michael Hagmann Stefan Riezler 18 1 0 23 Jun 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 32 8 0 15 Jun 2021
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions Daniel Rosenberg Itai Gat Amir Feder Roi Reichart AAML 39 16 0 08 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers Yujia Bao Shiyu Chang Regina Barzilay 27 20 0 26 May 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 51 87 0 12 May 2021
Evaluating Gender Bias in Natural Language Inference Shanya Sharma Manan Dey Koustuv Sinha 28 41 0 12 May 2021
Can NLI Models Verify QA Systems' Predictions? Jifan Chen Eunsol Choi Greg Durrett 31 54 0 18 Apr 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 30 45 0 16 Apr 2021
Detoxifying Language Models Risks Marginalizing Minority Voices Albert Xu Eshaan Pathak Eric Wallace Suchin Gururangan Maarten Sap Dan Klein 24 123 0 13 Apr 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering Corentin Dancette Rémi Cadène Damien Teney Matthieu Cord CML 30 76 0 07 Apr 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Xia Hu 59 105 0 11 Mar 2021
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems U. Mahmood Robik Shrestha D. Bates L. Mannelli G. Corrias Y. Erdi Christopher Kanan 18 16 0 04 Mar 2021