Overcoming Simplicity Bias in Deep Networks using a Feature Sieve

30 January 2023

Papers citing "Overcoming Simplicity Bias in Deep Networks using a Feature Sieve"

20 / 20 papers shown

Title
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 344 0 0 24 Mar 2025
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization Simone Bombari Marco Mondelli 163 0 0 03 Feb 2025
Sebra: Debiasing Through Self-Guided Bias Ranking Adarsh Kappiyath Abhra Chaudhuri Ajay Jaiswal Ziquan Liu Yunpeng Li Xiatian Zhu L. Yin CML 308 1 1 30 Jan 2025
Look Beyond Bias with Entropic Adversarial Data Augmentation Thomas Duboudin Emmanuel Dellandrea Corentin Abgrall Gilles Hénaff Liming Chen CML 47 4 0 10 Jan 2023
Learning Debiased Classifier with Biased Committee Nayeong Kim Sehyun Hwang SungSoo Ahn Jaesik Park Suha Kwak CML 50 56 0 22 Jun 2022
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation Eungyeup Kim Jihyeon Janel Lee Jaegul Choo 43 87 0 23 Aug 2021
Causal Attention for Unbiased Visual Recognition Tan Wang Chan Zhou Qianru Sun Hanwang Zhang OOD CML 61 111 0 19 Aug 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 60 88 0 12 May 2021
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 46 123 0 02 Mar 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation Haoyue Bai Rui Sun Lanqing Hong Fengwei Zhou Nanyang Ye Han-Jia Ye Shueng-Han Gary Chan Zhenguo Li OOD OODD CML 43 79 0 17 Dec 2020
Understanding the Failure Modes of Out-of-Distribution Generalization Vaishnavh Nagarajan Anders Andreassen Behnam Neyshabur OOD OODD 29 177 0 29 Oct 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 35 376 0 14 Oct 2020
Towards Recognizing Unseen Categories in Unseen Domains Massimiliano Mancini Zeynep Akata Elisa Ricci Barbara Caputo VLM 87 101 0 23 Jul 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 33 1,217 0 20 Nov 2019
Learning De-biased Representations with Biased Representations Hyojin Bahng Sanghyuk Chun Sangdoo Yun Jaegul Choo Seong Joon Oh OOD 350 277 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 45 463 0 09 Sep 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 153 1,454 0 16 Jul 2019
RUBi: Reducing Unimodal Biases in Visual Question Answering Rémi Cadène Corentin Dancette H. Ben-younes Matthieu Cord Devi Parikh CML 58 373 0 24 Jun 2019
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 40 3,123 0 06 Jul 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 307 9,418 0 28 May 2015