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Learning Not to Learn: Training Deep Neural Networks with Biased Data
v1v2 (latest)

Learning Not to Learn: Training Deep Neural Networks with Biased Data

26 December 2018
Byungju Kim
Hyunwoo Kim
Kyungsu Kim
Sungjin Kim
Junmo Kim
    OOD
ArXiv (abs)PDFHTML

Papers citing "Learning Not to Learn: Training Deep Neural Networks with Biased Data"

30 / 130 papers shown
Title
Variational Interaction Information Maximization for Cross-domain
  Disentanglement
Variational Interaction Information Maximization for Cross-domain Disentanglement
HyeongJoo Hwang
Geon-hyeong Kim
Seunghoon Hong
Kee-Eung Kim
BDLDRL
57
51
0
08 Dec 2020
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation
Sunhee Hwang
Sungho Park
D. Kim
Mirae Do
H. Byun
CVBM
102
32
0
01 Dec 2020
Right for the Right Concept: Revising Neuro-Symbolic Concepts by
  Interacting with their Explanations
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
Wolfgang Stammer
P. Schramowski
Kristian Kersting
FAtt
103
112
0
25 Nov 2020
Do Fine-tuned Commonsense Language Models Really Generalize?
Do Fine-tuned Commonsense Language Models Really Generalize?
Mayank Kejriwal
Ke Shen
ELMLRM
57
10
0
18 Nov 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
81
62
0
07 Nov 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing
  Functional Entropies
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Itai Gat
Idan Schwartz
Alex Schwing
Tamir Hazan
106
92
0
21 Oct 2020
Learning Emotional-Blinded Face Representations
Learning Emotional-Blinded Face Representations
Alejandro Peña
Julian Fierrez
Àgata Lapedriza
Aythami Morales
CVBM
68
13
0
18 Sep 2020
Learning Unbiased Representations via Rényi Minimization
Learning Unbiased Representations via Rényi Minimization
Vincent Grari
Oualid El Hajouji
Sylvain Lamprier
Marcin Detyniecki
FaML
66
21
0
07 Sep 2020
Using Deep Networks for Scientific Discovery in Physiological Signals
Using Deep Networks for Scientific Discovery in Physiological Signals
Tom Beer
Bar Eini-Porat
Sebastian Goodfellow
Danny Eytan
Uri Shalit
57
5
0
25 Aug 2020
Null-sampling for Interpretable and Fair Representations
Null-sampling for Interpretable and Fair Representations
T. Kehrenberg
Myles Bartlett
Oliver Thomas
Novi Quadrianto
OOD
41
29
0
12 Aug 2020
Learning from Failure: Training Debiased Classifier from Biased
  Classifier
Learning from Failure: Training Debiased Classifier from Biased Classifier
J. Nam
Hyuntak Cha
SungSoo Ahn
Jaeho Lee
Jinwoo Shin
84
150
0
06 Jul 2020
A Comparison of Uncertainty Estimation Approaches in Deep Learning
  Components for Autonomous Vehicle Applications
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications
F. Arnez
H. Espinoza
A. Radermacher
Franccois Terrier
UQCV
71
30
0
26 Jun 2020
A causal view of compositional zero-shot recognition
A causal view of compositional zero-shot recognition
Yuval Atzmon
Felix Kreuk
Uri Shalit
Gal Chechik
OCLBDLCML
119
125
0
25 Jun 2020
Self-training Avoids Using Spurious Features Under Domain Shift
Self-training Avoids Using Spurious Features Under Domain Shift
Yining Chen
Colin Wei
Ananya Kumar
Tengyu Ma
OOD
90
85
0
17 Jun 2020
70 years of machine learning in geoscience in review
70 years of machine learning in geoscience in review
Jesper Sören Dramsch
VLMAI4CE
111
163
0
16 Jun 2020
Enhancing Facial Data Diversity with Style-based Face Aging
Enhancing Facial Data Diversity with Style-based Face Aging
Markos Georgopoulos
James Oldfield
M. Nicolaou
Yannis Panagakis
Maja Pantic
CVBM
50
12
0
06 Jun 2020
Debiasing Skin Lesion Datasets and Models? Not So Fast
Debiasing Skin Lesion Datasets and Models? Not So Fast
Alceu Bissoto
Eduardo Valle
Sandra Avila
102
55
0
23 Apr 2020
Exploring Racial Bias within Face Recognition via per-subject
  Adversarially-Enabled Data Augmentation
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Seyma Yucer
S. Akçay
Noura Al-Moubayed
T. Breckon
67
63
0
19 Apr 2020
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
74
58
0
15 Apr 2020
InsideBias: Measuring Bias in Deep Networks and Application to Face
  Gender Biometrics
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
Ignacio Serna
Alejandro Peña
Aythami Morales
Julian Fierrez
CVBM
101
62
0
14 Apr 2020
Learning Unbiased Representations via Mutual Information Backpropagation
Learning Unbiased Representations via Mutual Information Backpropagation
R. Ragonesi
Riccardo Volpi
Jacopo Cavazza
Vittorio Murino
FaMLSSL
59
30
0
13 Mar 2020
Diversity inducing Information Bottleneck in Model Ensembles
Diversity inducing Information Bottleneck in Model Ensembles
Samarth Sinha
Homanga Bharadhwaj
Anirudh Goyal
Hugo Larochelle
Animesh Garg
Florian Shkurti
BDLUQCV
69
40
0
10 Mar 2020
Face Recognition: Too Bias, or Not Too Bias?
Face Recognition: Too Bias, or Not Too Bias?
Joseph P. Robinson
Gennady Livitz
Yann Henon
Can Qin
Y. Fu
Samson Timoner
CVBM
100
127
0
16 Feb 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual
  Bias
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Krishna Kumar Singh
D. Mahajan
Kristen Grauman
Yong Jae Lee
Matt Feiszli
Deepti Ghadiyaram
71
109
0
09 Jan 2020
Revealing Neural Network Bias to Non-Experts Through Interactive
  Counterfactual Examples
Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples
Chelsea M. Myers
Evan Freed
Luis Fernando Laris Pardo
Anushay Furqan
S. Risi
Jichen Zhu
CML
103
13
0
07 Jan 2020
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action
  Recognition
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Jinwoo Choi
Chen Gao
Joseph C.E. Messou
Jia-Bin Huang
145
182
0
11 Dec 2019
Towards Fairness in Visual Recognition: Effective Strategies for Bias
  Mitigation
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Zeyu Wang
Klint Qinami
Yannis Karakozis
Kyle Genova
P. Nair
Kenji Hata
Olga Russakovsky
110
368
0
26 Nov 2019
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
415
283
0
07 Oct 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
OOD
128
469
0
09 Sep 2019
Explaining Classifiers with Causal Concept Effect (CaCE)
Explaining Classifiers with Causal Concept Effect (CaCE)
Yash Goyal
Amir Feder
Uri Shalit
Been Kim
CML
97
178
0
16 Jul 2019
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