OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses

OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses

5 April 2022

Christopher Kanan

Papers citing "OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses"

17 / 17 papers shown

Title
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis Wenbo Zhang Junyu Chen Christopher Kanan 67 0 0 02 Dec 2024
Efficient Bias Mitigation Without Privileged Information Mateo Espinosa Zarlenga Swami Sankaranarayanan Jerone T. A. Andrews Z. Shams M. Jamnik Alice Xiang 21 3 0 26 Sep 2024
Model Debiasing by Learnable Data Augmentation Pietro Morerio R. Ragonesi Vittorio Murino 22 0 0 09 Aug 2024
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models? Md Yousuf Harun Kyungbok Lee Jhair Gallardo Giri Krishnan Christopher Kanan 23 2 0 23 May 2024
DeNetDM: Debiasing by Network Depth Modulation Silpa Vadakkeeveetil Sreelatha Adarsh Kappiyath Anjan Dutta 26 2 1 28 Mar 2024
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts Jiaxuan Li D. Vo Hideki Nakayama 13 3 0 19 Aug 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg BDL 25 0 0 29 Mar 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve Rishabh Tiwari Pradeep Shenoy 24 17 0 30 Jan 2023
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 12 1 0 10 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 203 64 0 07 Feb 2022
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation Yeonsung Jung Hajin Shim J. Yang Eunho Yang 17 7 0 02 Dec 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 368 0 09 May 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu Yueting Zhuang OOD AAML 132 287 0 14 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 888 0 02 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017