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Learning from Failure: Training Debiased Classifier from Biased
  Classifier
v1v2 (latest)

Learning from Failure: Training Debiased Classifier from Biased Classifier

6 July 2020
J. Nam
Hyuntak Cha
SungSoo Ahn
Jaeho Lee
Jinwoo Shin
ArXiv (abs)PDFHTML

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

50 / 100 papers shown
Title
EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition
Yi-Cheng Lin
Huang-Cheng Chou
Yu-Hsuan Li Liang
Hung-yi Lee
95
0
0
05 Jun 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
Chenruo Liu
Kenan Tang
Yao Qin
Qi Lei
52
0
0
28 May 2025
Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach
Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach
Yi-Cheng Lin
Huang-Cheng Chou
Hung-yi Lee
57
2
0
20 May 2025
Are We Done with Object-Centric Learning?
Are We Done with Object-Centric Learning?
Alexander Rubinstein
Ameya Prabhu
Matthias Bethge
Seong Joon Oh
OCL
1.1K
2
0
09 Apr 2025
Leveraging Text-to-Image Generation for Handling Spurious Correlation
Leveraging Text-to-Image Generation for Handling Spurious Correlation
Aryan Yazdan Parast
Basim Azam
Naveed Akhtar
91
0
0
21 Mar 2025
Sebra: Debiasing Through Self-Guided Bias Ranking
Sebra: Debiasing Through Self-Guided Bias Ranking
Adarsh Kappiyath
Abhra Chaudhuri
Ajay Jaiswal
Ziquan Liu
Yunpeng Li
Xiatian Zhu
L. Yin
CML
424
1
1
30 Jan 2025
Re-evaluating Group Robustness via Adaptive Class-Specific Scaling
Re-evaluating Group Robustness via Adaptive Class-Specific Scaling
Seonguk Seo
Bohyung Han
167
0
0
19 Dec 2024
Optimizing importance weighting in the presence of sub-population shifts
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege
Bram Wouters
Noud van Giersbergen
C. Diks
88
0
0
18 Oct 2024
Improving Robustness to Multiple Spurious Correlations by
  Multi-Objective Optimization
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
Nayeong Kim
Juwon Kang
Sungsoo Ahn
Jungseul Ok
Suha Kwak
69
1
0
05 Sep 2024
UnLearning from Experience to Avoid Spurious Correlations
UnLearning from Experience to Avoid Spurious Correlations
Jeff Mitchell
Jesús Martínez del Rincón
Niall McLaughlin
103
1
0
04 Sep 2024
Model Debiasing by Learnable Data Augmentation
Model Debiasing by Learnable Data Augmentation
Pietro Morerio
R. Ragonesi
Vittorio Murino
86
0
0
09 Aug 2024
LADDER: Language Driven Slice Discovery and Error Rectification
LADDER: Language Driven Slice Discovery and Error Rectification
Shantanu Ghosh
Rayan Syed
Chenyu Wang
Clare B. Poynton
Kayhan Batmanghelich
80
0
0
31 Jul 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias
Language-guided Detection and Mitigation of Unknown Dataset Bias
Zaiying Zhao
Soichiro Kumano
Toshihiko Yamasaki
82
2
0
05 Jun 2024
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables
James Hinns
David Martens
109
2
0
24 May 2024
Enhancing Intrinsic Features for Debiasing via Investigating
  Class-Discerning Common Attributes in Bias-Contrastive Pair
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
Jeonghoon Park
Chaeyeon Chung
Juyoung Lee
Jaegul Choo
81
3
0
30 Apr 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks
Can Rager
Eric J. Michaud
Yonatan Belinkov
David Bau
Aaron Mueller
182
159
0
28 Mar 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious
  Correlation
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
Fahimeh Hosseini Noohdani
Parsa Hosseini
Aryan Yazdan Parast
Hamidreza Yaghoubi Araghi
M. Baghshah
CoGeOOD
62
9
0
29 Feb 2024
Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data
  Setting
Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting
Piyush Arora
Pratik Mazumder
73
1
0
13 Dec 2023
Annotation-Free Group Robustness via Loss-Based Resampling
Annotation-Free Group Robustness via Loss-Based Resampling
Mahdi Ghaznavi
Hesam Asadollahzadeh
Hamidreza Yaghoubi Araghi
Fahimeh Hosseini Noohdani
M. Rohban
M. Baghshah
OOD
82
2
0
08 Dec 2023
Projection Regret: Reducing Background Bias for Novelty Detection via
  Diffusion Models
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
Sungik Choi
Hankook Lee
Honglak Lee
Moontae Lee
DiffM
105
7
0
05 Dec 2023
Making Self-supervised Learning Robust to Spurious Correlation via
  Learning-speed Aware Sampling
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling
Weicheng Zhu
Sheng Liu
C. Fernandez‐Granda
N. Razavian
130
1
0
27 Nov 2023
Improving Fairness using Vision-Language Driven Image Augmentation
Improving Fairness using Vision-Language Driven Image Augmentation
Moreno DÍncà
Christos Tzelepis
Ioannis Patras
N. Sebe
115
13
0
02 Nov 2023
Does Invariant Graph Learning via Environment Augmentation Learn
  Invariance?
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Yongqiang Chen
Yatao Bian
Kaiwen Zhou
Binghui Xie
Bo Han
James Cheng
OOD
111
41
0
29 Oct 2023
Fast Model Debias with Machine Unlearning
Fast Model Debias with Machine Unlearning
Ruizhe Chen
Jianfei Yang
Huimin Xiong
Jianhong Bai
Tianxiang Hu
Jinxiang Hao
Yang Feng
Qiufeng Wang
Jian Wu
Zuo-Qiang Liu
MU
131
69
0
19 Oct 2023
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
Yupei Du
Albert Gatt
Dong Nguyen
71
1
0
10 Oct 2023
Mitigating Simplicity Bias in Deep Learning for Improved OOD
  Generalization and Robustness
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
Bhavya Vasudeva
Kameron Shahabi
Vatsal Sharan
67
4
0
09 Oct 2023
Discovering environments with XRM
Discovering environments with XRM
Mohammad Pezeshki
Diane Bouchacourt
Mark Ibrahim
Jimuyang Zhang
Pascal Vincent
David Lopez-Paz
98
19
0
28 Sep 2023
Towards Last-layer Retraining for Group Robustness with Fewer
  Annotations
Towards Last-layer Retraining for Group Robustness with Fewer Annotations
Tyler LaBonte
Vidya Muthukumar
Abhishek Kumar
104
42
0
15 Sep 2023
Addressing Feature Imbalance in Sound Source Separation
Addressing Feature Imbalance in Sound Source Separation
Jaechang Kim
Jeongyeon Hwang
Soheun Yi
Jaewoong Cho
Jungseul Ok
146
0
0
11 Sep 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
Moon Ye-Bin
Nam Hyeon-Woo
Wonseok Choi
Nayeong Kim
Suha Kwak
Tae-Hyun Oh
DiffM
90
6
0
02 Aug 2023
Contextual Reliability: When Different Features Matter in Different
  Contexts
Contextual Reliability: When Different Features Matter in Different Contexts
Gaurav R. Ghosal
Amrith Rajagopal Setlur
Daniel S. Brown
Anca Dragan
Aditi Raghunathan
99
1
0
19 Jul 2023
Confidence-Based Model Selection: When to Take Shortcuts for
  Subpopulation Shifts
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
OOD
106
5
0
19 Jun 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Ting Wu
Rui Zheng
Tao Gui
Qi Zhang
Xuanjing Huang
74
2
0
20 May 2023
Overwriting Pretrained Bias with Finetuning Data
Overwriting Pretrained Bias with Finetuning Data
Angelina Wang
Olga Russakovsky
70
33
0
10 Mar 2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving
  Data Generation
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
Yilin Yang
Kamil Adamczewski
Danica J. Sutherland
Xiaoxiao Li
Mijung Park
99
13
0
03 Mar 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
99
1
0
22 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating
  Orthogonal Features
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
VLM
92
11
0
10 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive
  Attribute Access
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
A. Veldanda
Ivan Brugere
Sanghamitra Dutta
Alan Mishler
S. Garg
84
6
0
02 Feb 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
Rishabh Tiwari
Pradeep Shenoy
148
22
0
30 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Xiao Zhou
Yong Lin
Renjie Pi
Weizhong Zhang
Renzhe Xu
Peng Cui
Tong Zhang
OODD
102
61
0
24 Jan 2023
Look Beyond Bias with Entropic Adversarial Data Augmentation
Look Beyond Bias with Entropic Adversarial Data Augmentation
Thomas Duboudin
Emmanuel Dellandrea
Corentin Abgrall
Gilles Hénaff
Liming Chen
CML
77
4
0
10 Jan 2023
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Mazda Moayeri
Wenxiao Wang
Sahil Singla
Soheil Feizi
169
16
0
05 Dec 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang
Polina Kirichenko
Micah Goldblum
A. Wilson
DRL
83
12
0
28 Nov 2022
Learning with Noisy Labels over Imbalanced Subpopulations
Learning with Noisy Labels over Imbalanced Subpopulations
Mingcai Chen
Yu Zhao
Bing He
Zongbo Han
Bingzhe Wu
Jianhua Yao
76
10
0
16 Nov 2022
Unbiased Supervised Contrastive Learning
Unbiased Supervised Contrastive Learning
C. Barbano
Benoit Dufumier
Enzo Tartaglione
Marco Grangetto
Pietro Gori
FaMLSSL
95
31
0
10 Nov 2022
Just Mix Once: Worst-group Generalization by Group Interpolation
Just Mix Once: Worst-group Generalization by Group Interpolation
Giorgio Giannone
Serhii Havrylov
Jordan Massiah
Emine Yilmaz
Yunlong Jiao
92
2
0
21 Oct 2022
Information Removal at the bottleneck in Deep Neural Networks
Information Removal at the bottleneck in Deep Neural Networks
Enzo Tartaglione
88
2
0
30 Sep 2022
Towards Generating Robust, Fair, and Emotion-Aware Explanations for
  Recommender Systems
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems
Bingbing Wen
Yunhe Feng
Yongfeng Zhang
Chirag Shah
67
1
0
17 Aug 2022
Class Is Invariant to Context and Vice Versa: On Learning Invariance for
  Out-Of-Distribution Generalization
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
Jiaxin Qi
Kaihua Tang
Qianru Sun
Xiansheng Hua
Hanwang Zhang
85
12
0
06 Aug 2022
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
Zhiheng Li
A. Hoogs
Chenliang Xu
83
56
0
20 Jul 2022
12
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