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Learning from Failure: Training Debiased Classifier from Biased Classifier

6 July 2020

Papers citing "Learning from Failure: Training Debiased Classifier from Biased Classifier"

50 / 100 papers shown

Title
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra Aleksander Madry 100 90 0 29 Jun 2022
Learning Debiased Classifier with Biased Committee Nayeong Kim Sehyun Hwang SungSoo Ahn Jaesik Park Suha Kwak CML 124 57 0 22 Jun 2022
Improving Evaluation of Debiasing in Image Classification Jungsoo Lee Juyoung Lee Sanghun Jung Jaegul Choo 74 0 0 08 Jun 2022
Revisiting the Importance of Amplifying Bias for Debiasing Jungsoo Lee Jeonghoon Park Daeyoung Kim Juyoung Lee Edward Choi Jaegul Choo 118 23 0 29 May 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 67 21 0 28 Apr 2022
Unsupervised Learning of Unbiased Visual Representations C. Barbano Enzo Tartaglione Marco Grangetto SSL CML OOD 100 1 0 26 Apr 2022
Improved Group Robustness via Classifier Retraining on Independent Splits Thien Hai Nguyen Hongyang R. Zhang Huy Le Nguyen OOD 72 2 0 20 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization Zeyi Huang Haohan Wang Dong Huang Yong Jae Lee Eric P. Xing 90 22 0 09 Apr 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 109 13 0 05 Apr 2022
Rich Feature Construction for the Optimization-Generalization Dilemma Jianyu Zhang David Lopez-Paz Léon Bottou 63 41 0 24 Mar 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen Pfohl Marzyeh Ghassemi 92 67 0 23 Mar 2022
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings Haochen Tan Wei Shao Han Wu Ke Yang Linqi Song 52 19 0 11 Mar 2022
ZIN: When and How to Learn Invariance Without Environment Partition? Yong Lin Shengyu Zhu Lu Tan Peng Cui OOD CML 90 69 0 11 Mar 2022
NeuroView-RNN: It's About Time C. Barberan Sina Alemohammad Naiming Liu Randall Balestriero Richard G. Baraniuk AI4TS HAI 82 2 0 23 Feb 2022
On Guiding Visual Attention with Language Specification Suzanne Petryk Lisa Dunlap Keyan Nasseri Joseph E. Gonzalez Trevor Darrell Anna Rohrbach VLM 262 32 1 17 Feb 2022
Gradient Based Activations for Accurate Bias-Free Learning V. Kurmi Rishabh Sharma Yash Sharma Vinay P. Namboodiri FaML 64 2 0 17 Feb 2022
Agree to Disagree: Diversity through Disagreement for Better Transferability Matteo Pagliardini Martin Jaggi Franccois Fleuret Sai Praneeth Karimireddy 100 75 0 09 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 293 66 0 07 Feb 2022
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 139 19 0 27 Jan 2022
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification Beier Zhu Yulei Niu Xiansheng Hua Hanwang Zhang 79 42 0 29 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 307 139 0 15 Dec 2021
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation Yeonsung Jung Hajin Shim J. Yang Eunho Yang 105 8 0 02 Dec 2021
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 66 9 0 25 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 200 16 0 05 Nov 2021
Simple data balancing achieves competitive worst-group-accuracy Badr Youbi Idrissi Martín Arjovsky Mohammad Pezeshki David Lopez-Paz 138 183 0 27 Oct 2021
NeuroView: Explainable Deep Network Decision Making C. Barberan Randall Balestriero Richard G. Baraniuk FAtt 56 2 0 15 Oct 2021
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting Wei-wei Zhu Jiebo Luo Andrew D. White FedML 76 34 0 15 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 45 5 0 10 Sep 2021
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures Sanghyuk Chun Song Park 62 6 0 24 Aug 2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation Eungyeup Kim Jihyeon Janel Lee Jaegul Choo 91 89 0 23 Aug 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization Wei-wei Zhu Haitian Zheng Haofu Liao Weijian Li Jiebo Luo 149 43 0 11 Aug 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 124 50 0 06 Aug 2021
Object-aware Contrastive Learning for Debiased Scene Representation Sangwoo Mo H. Kang Kihyuk Sohn Chun-Liang Li Jinwoo Shin SSL OCL 170 50 0 30 Jul 2021
Just Train Twice: Improving Group Robustness without Training Group Information Emmy Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 137 563 0 19 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation Jungsoo Lee Eungyeup Kim Juyoung Lee Jihyeon Janel Lee Jaegul Choo CML 94 158 0 03 Jul 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Helen Zhou 90 81 0 23 Jun 2021
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization Thomas Duboudin Emmanuel Dellandrea Corentin Abgrall Gilles Hénaff Liming Chen 57 9 0 15 Jun 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 82 8 0 15 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? Dinghuai Zhang Kartik Ahuja Yilun Xu Yisen Wang Aaron Courville OOD 104 96 0 05 Jun 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 134 90 0 12 May 2021
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study Luyang Luo Hao Chen Yongjie Xiao Yanning Zhou Xi Wang ... Zaiyi Liu X. B. Fang E. Tsougenis Huangjing Lin Pheng-Ann Heng 94 6 0 21 Apr 2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles Robik Shrestha Jinkyu Lee Kushal Kafle S. Hwang Il Yong Chun 85 1 0 01 Apr 2021
Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions Xuan Cheng Tianshu Xie Xiaomin Wang Qifeng Weng Minghui Liu Jiali Deng Meilin Liu 75 0 0 29 Mar 2021
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 103 125 0 02 Mar 2021
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance Nikolay Dagaev Brett D. Roads Xiaoliang Luo Daniel N. Barry Kaustubh R. Patil Bradley C. Love 99 9 0 12 Feb 2021
MASKER: Masked Keyword Regularization for Reliable Text Classification S. Moon Sangwoo Mo Kimin Lee Jaeho Lee Jinwoo Shin 120 38 0 17 Dec 2020
Fair Attribute Classification through Latent Space De-biasing V. V. Ramaswamy Sunnie S. Y. Kim Olga Russakovsky 110 165 0 02 Dec 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 141 24 0 19 Nov 2020
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 165 269 0 18 Nov 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 116 386 0 14 Oct 2020