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Automatic Shortcut Removal for Self-Supervised Representation Learning

Automatic Shortcut Removal for Self-Supervised Representation Learning

20 February 2020
Matthias Minderer
Olivier Bachem
N. Houlsby
Michael Tschannen
    SSL
ArXivPDFHTML

Papers citing "Automatic Shortcut Removal for Self-Supervised Representation Learning"

50 / 50 papers shown
Title
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
Shunxin Wang
Raymond N. J. Veldhuis
N. Strisciuglio
VLM
71
0
0
05 Mar 2025
Time Series Viewmakers for Robust Disruption Prediction
Time Series Viewmakers for Robust Disruption Prediction
Dhruva Chayapathy
Tavis Siebert
Lucas Spangher
Akshata Kishore Moharir
Om Manoj Patil
Cristina Rea
23
0
0
14 Oct 2024
Can We Break Free from Strong Data Augmentations in Self-Supervised
  Learning?
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
Shruthi Gowda
Elahe Arani
Bahram Zonooz
33
1
0
15 Apr 2024
Learning Decomposable and Debiased Representations via Attribute-Centric
  Information Bottlenecks
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks
Jinyung Hong
Eunyeong Jeon
Changhoon Kim
Keun Hee Park
Utkarsh Nath
Yezhou Yang
P. Turaga
Theodore P. Pavlic
CML
36
0
0
21 Mar 2024
Explore Spurious Correlations at the Concept Level in Language Models
  for Text Classification
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
Yuhang Zhou
Paiheng Xu
Xiaoyu Liu
Bang An
Wei Ai
Furong Huang
LRM
71
20
0
15 Nov 2023
Protecting Publicly Available Data With Machine Learning Shortcuts
Protecting Publicly Available Data With Machine Learning Shortcuts
Nicolas M. Muller
Maximilian Burgert
Pascal Debus
Jennifer Williams
Philip Sperl
Konstantin Böttinger
10
0
0
30 Oct 2023
Group Robust Classification Without Any Group Information
Group Robust Classification Without Any Group Information
Christos Tsirigotis
João Monteiro
Pau Rodríguez
David Vazquez
Aaron Courville
OOD
19
22
0
28 Oct 2023
On the Foundations of Shortcut Learning
On the Foundations of Shortcut Learning
Katherine Hermann
Hossein Mobahi
Thomas Fel
M. C. Mozer
VLM
30
26
0
24 Oct 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
20
0
0
11 Sep 2023
Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention
  with Shortcut Features
Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features
Yi Zhang
Jitao Sang
Junyan Wang
D. Jiang
Yaowei Wang
21
5
0
13 Aug 2023
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning
Shunxin Wang
C. Brune
Raymond N. J. Veldhuis
N. Strisciuglio
AAML
27
4
0
12 Aug 2023
Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for
  Occluded Facial Expression Recognition
Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition
Isack Lee
Eung-Joo Lee
S. Yoo
15
22
0
21 Jul 2023
What do neural networks learn in image classification? A frequency
  shortcut perspective
What do neural networks learn in image classification? A frequency shortcut perspective
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
16
21
0
19 Jul 2023
Exploring new ways: Enforcing representational dissimilarity to learn
  new features and reduce error consistency
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency
Tassilo Wald
Constantin Ulrich
Fabian Isensee
David Zimmerer
Gregor Koehler
Michael Baumgartner
Klaus H. Maier-Hein
OOD
28
1
0
05 Jul 2023
A Survey on the Robustness of Computer Vision Models against Common
  Corruptions
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OOD
VLM
25
11
0
10 May 2023
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for
  Histopathology
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology
Ramin Nakhli
Allen W. Zhang
Katherine Rich
Amirali Darbandsari
Elahe Shenasa
...
K. Milne
J. McAlpine
B. Nelson
C. Gilks
A. Bashashati
14
5
0
08 Mar 2023
When does Privileged Information Explain Away Label Noise?
When does Privileged Information Explain Away Label Noise?
Guillermo Ortiz-Jiménez
Mark Collier
Anant Nawalgaria
Alexander DÁmour
Jesse Berent
Rodolphe Jenatton
E. Kokiopoulou
NoLa
159
7
0
03 Mar 2023
Boosting Automatic COVID-19 Detection Performance with Self-Supervised
  Learning and Batch Knowledge Ensembling
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
SSL
27
8
0
19 Dec 2022
Feature Dropout: Revisiting the Role of Augmentations in Contrastive
  Learning
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning
Alex Tamkin
Margalit Glasgow
Xiluo He
Noah D. Goodman
SSL
19
7
0
16 Dec 2022
Domain Generalization by Learning and Removing Domain-specific Features
Domain Generalization by Learning and Removing Domain-specific Features
Yuzhu Ding
Lei Wang
Binxin Liang
Shuming Liang
Yang Wang
Fangxiao Chen
OOD
30
40
0
14 Dec 2022
Avoiding spurious correlations via logit correction
Avoiding spurious correlations via logit correction
Sheng Liu
Xu Zhang
Nitesh Sekhar
Yue Wu
Prateek Singhal
C. Fernandez‐Granda
25
29
0
02 Dec 2022
Localized Shortcut Removal
Localized Shortcut Removal
Nicolas M. Muller
Jochen Jacobs
Jennifer Williams
Konstantin Böttinger
23
0
0
24 Nov 2022
Learning Robust Representations for Continual Relation Extraction via
  Adversarial Class Augmentation
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
Peiyi Wang
Yifan Song
Tianyu Liu
Binghuai Lin
Yunbo Cao
Sujian Li
Zhifang Sui
CLL
SLR
37
22
0
10 Oct 2022
Graph Contrastive Learning with Cross-view Reconstruction
Graph Contrastive Learning with Cross-view Reconstruction
Qianlong Wen
Z. Ouyang
Chunhui Zhang
Y. Qian
Yanfang Ye
Chuxu Zhang
SSL
20
6
0
16 Sep 2022
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing
Alex Brown
Nenad Tomašev
Jan Freyberg
Yuan Liu
Alan Karthikesalingam
Jessica Schrouff
24
51
0
21 Jul 2022
Beyond Just Vision: A Review on Self-Supervised Representation Learning
  on Multimodal and Temporal Data
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
Shohreh Deldari
Hao Xue
Aaqib Saeed
Jiayuan He
Daniel V. Smith
Flora D. Salim
AI4TS
25
37
0
06 Jun 2022
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning
Chong Ma
Lin Zhao
Yuzhong Chen
Lu Zhang
Zhe Xiao
...
Tuo Zhang
Qian Wang
Dinggang Shen
Dajiang Zhu
Tianming Liu
ViT
MedIm
36
30
0
25 May 2022
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Yunlong Zhang
Xin Lin
Yihong Zhuang
LiyanSun
Yue Huang
Xinghao Ding
Guisheng Wang
L. Yang
Yizhou Yu
MedIm
14
6
0
29 Mar 2022
Self-supervised learning for analysis of temporal and morphological drug
  effects in cancer cell imaging data
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data
A. Dmitrenko
M. M. Masiero
N. Zamboni
MedIm
16
8
0
07 Mar 2022
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance
  and Domain Generalization in Stereo Matching Networks
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks
Weiqin Chuah
Ruwan Tennakoon
R. Hoseinnezhad
A. Bab-Hadiashar
David Suter
OOD
19
40
0
06 Jan 2022
Identifying and Mitigating Spurious Correlations for Improving
  Robustness in NLP Models
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
120
72
0
14 Oct 2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the
  Presence of Shortcut and Generalization Opportunities
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
Elias Eulig
Piyapat Saranrittichai
Chaithanya Kumar Mummadi
K. Rambach
William H. Beluch
Xiahan Shi
Volker Fischer
146
11
0
12 Aug 2021
Object-aware Contrastive Learning for Debiased Scene Representation
Object-aware Contrastive Learning for Debiased Scene Representation
Sangwoo Mo
H. Kang
Kihyuk Sohn
Chun-Liang Li
Jinwoo Shin
SSL
OCL
24
48
0
30 Jul 2021
Parametric Scattering Networks
Parametric Scattering Networks
Shanel Gauthier
Benjamin Thérien
Laurent Alsene-Racicot
Muawiz Chaudhary
Irina Rish
Eugene Belilovsky
Michael Eickenberg
Guy Wolf
24
16
0
20 Jul 2021
Geographical Knowledge-driven Representation Learning for Remote Sensing
  Images
Geographical Knowledge-driven Representation Learning for Remote Sensing Images
Wenyuan Li
Keyan Chen
Hao Chen
Zhenwei Shi
SSL
38
64
0
12 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee
Eungyeup Kim
Juyoung Lee
Jihyeon Janel Lee
Jaegul Choo
CML
17
148
0
03 Jul 2021
Can contrastive learning avoid shortcut solutions?
Can contrastive learning avoid shortcut solutions?
Joshua Robinson
Li Sun
Ke Yu
Kayhan Batmanghelich
Stefanie Jegelka
S. Sra
SSL
19
142
0
21 Jun 2021
Achieving Domain Robustness in Stereo Matching Networks by Removing
  Shortcut Learning
Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning
Weiqin Chuah
Ruwan Tennakoon
A. Bab-Hadiashar
David Suter
OOD
19
0
0
15 Jun 2021
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance
Nikolay Dagaev
Brett D. Roads
Xiaoliang Luo
Daniel N. Barry
Kaustubh R. Patil
Bradley C. Love
9
8
0
12 Feb 2021
MASKER: Masked Keyword Regularization for Reliable Text Classification
MASKER: Masked Keyword Regularization for Reliable Text Classification
S. Moon
Sangwoo Mo
Kimin Lee
Jaeho Lee
Jinwoo Shin
24
38
0
17 Dec 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural
  Networks
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks
L. N. Darlow
Stanisław Jastrzębski
Amos Storkey
46
24
0
19 Nov 2020
Unsupervised Contrastive Learning of Sound Event Representations
Unsupervised Contrastive Learning of Sound Event Representations
Eduardo Fonseca
Diego Ortego
Kevin McGuinness
Noel E. O'Connor
Xavier Serra
SSL
27
65
0
15 Nov 2020
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
28
64
0
14 Oct 2020
Generator Versus Segmentor: Pseudo-healthy Synthesis
Generator Versus Segmentor: Pseudo-healthy Synthesis
Yunlong Zhang
Li Chenxin
Liyan Sun
Xin Lin
Yihong Zhuang
Yue Huang
Ding Xinghao
Xiaoqing Liu
Yizhou Yu
MedIm
18
19
0
12 Sep 2020
A Survey on Self-supervised Pre-training for Sequential Transfer
  Learning in Neural Networks
A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks
H. H. Mao
BDL
SSL
6
50
0
01 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Jihun Yi
Sungroh Yoon
33
383
0
29 Jun 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
16
1,302
0
20 May 2020
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
29
1,982
0
16 Apr 2020
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
147
127
0
13 Jun 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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