Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment

25 November 2021

Papers citing "Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment"

22 / 22 papers shown

Title
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation Eungyeup Kim Jihyeon Janel Lee Jaegul Choo 52 87 0 23 Aug 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 84 557 0 19 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation Jungsoo Lee Eungyeup Kim Juyoung Lee Jihyeon Janel Lee Jaegul Choo CML 46 155 0 03 Jul 2021
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 58 124 0 02 Mar 2021
Learning from others' mistakes: Avoiding dataset biases without modeling them Victor Sanh Thomas Wolf Yonatan Belinkov Alexander M. Rush 46 116 0 02 Dec 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 63 249 0 25 Nov 2020
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 100 266 0 18 Nov 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles Christopher Clark Mark Yatskar Luke Zettlemoyer 53 62 0 07 Nov 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 57 382 0 14 Oct 2020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel Albert Gu Yixuan Li Christopher Ré 65 120 0 15 Aug 2020
Learning from Failure: Training Debiased Classifier from Biased Classifier J. Nam Hyuntak Cha SungSoo Ahn Jaeho Lee Jinwoo Shin 60 148 0 06 Jul 2020
Swapping Autoencoder for Deep Image Manipulation Taesung Park Jun-Yan Zhu Oliver Wang Jingwan Lu Eli Shechtman Alexei A. Efros Richard Y. Zhang 89 335 0 01 Jul 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 109 335 0 23 Jun 2020
Learning Unbiased Representations via Mutual Information Backpropagation R. Ragonesi Riccardo Volpi Jacopo Cavazza Vittorio Murino FaML SSL 21 30 0 13 Mar 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 92 222 0 10 Feb 2020
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing Vedika Agarwal Rakshith Shetty Mario Fritz CML AAML 58 157 0 16 Dec 2019
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 111 424 0 16 Nov 2019
Learning De-biased Representations with Biased Representations Hyojin Bahng Sanghyuk Chun Sangdoo Yun Jaegul Choo Seong Joon Oh OOD 372 279 0 07 Oct 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases Christopher Clark Mark Yatskar Luke Zettlemoyer OOD 69 465 0 09 Sep 2019
RUBi: Reducing Unimodal Biases in Visual Question Answering Rémi Cadène Corentin Dancette H. Ben-younes Matthieu Cord Devi Parikh CML 80 373 0 24 Jun 2019
Invariant Representations without Adversarial Training Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan OOD 51 210 0 24 May 2018
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 221 9,298 0 14 Dec 2015