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Shortcut Learning in Deep Neural Networks

Shortcut Learning in Deep Neural Networks

16 April 2020
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
ArXivPDFHTML

Papers citing "Shortcut Learning in Deep Neural Networks"

50 / 332 papers shown
Title
Probing Out-of-Distribution Robustness of Language Models with
  Parameter-Efficient Transfer Learning
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
Hyunsoo Cho
Choonghyun Park
Junyeop Kim
Hyuhng Joon Kim
Kang Min Yoo
Sang-goo Lee
OODD
32
3
0
27 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Discovering and Mitigating Visual Biases through Keyword Explanation
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
40
32
0
26 Jan 2023
Circumventing interpretability: How to defeat mind-readers
Circumventing interpretability: How to defeat mind-readers
Lee D. Sharkey
35
3
0
21 Dec 2022
Task Ambiguity in Humans and Language Models
Task Ambiguity in Humans and Language Models
Alex Tamkin
Kunal Handa
Ava Shrestha
Noah D. Goodman
UQLM
44
22
0
20 Dec 2022
Learning useful representations for shifting tasks and distributions
Learning useful representations for shifting tasks and distributions
Jianyu Zhang
Léon Bottou
OOD
34
13
0
14 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
Improving group robustness under noisy labels using predictive
  uncertainty
Improving group robustness under noisy labels using predictive uncertainty
Dongpin Oh
Dae Lee
Jeunghyun Byun
Bonggun Shin
UQCV
23
3
0
14 Dec 2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
Raghav Mehta
Vítor Albiero
Li Chen
Ivan Evtimov
Tamar Glaser
Zhiheng Li
Tal Hassner
26
17
0
12 Dec 2022
Feature-Level Debiased Natural Language Understanding
Feature-Level Debiased Natural Language Understanding
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Pengjie Ren
Yukun Zhao
Dawei Yin
Z. Ren
32
10
0
11 Dec 2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One
  Amplifies Others
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Zhiheng Li
Ivan Evtimov
Albert Gordo
C. Hazirbas
Tal Hassner
Cristian Canton Ferrer
Chenliang Xu
Mark Ibrahim
34
71
0
09 Dec 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating
  Shortcut Learning
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning
Jiaxin Wen
Yeshuang Zhu
Jinchao Zhang
Jie Zhou
Minlie Huang
CML
AAML
22
8
0
29 Nov 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image
  Classification
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
Paul F. Jaeger
Carsten T. Lüth
Lukas Klein
Till J. Bungert
UQCV
26
35
0
28 Nov 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
27
10
0
28 Nov 2022
The Grind for Good Data: Understanding ML Practitioners' Struggles and
  Aspirations in Making Good Data
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data
Inha Cha
Juhyun Oh
Cheul Young Park
Jiyoon Han
Hwalsuk Lee
29
2
0
28 Nov 2022
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for
  Urban-Scene Segmentation
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation
Liang Zeng
A. Lengyel
Nergis Tomen
J. C. V. Gemert
AI4TS
26
0
0
25 Nov 2022
Disentangled Representation Learning
Disentangled Representation Learning
Xin Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
DRL
35
78
0
21 Nov 2022
Online Distribution Shift Detection via Recency Prediction
Online Distribution Shift Detection via Recency Prediction
Rachel Luo
Rohan Sinha
Yixiao Sun
Ali Hindy
Shengjia Zhao
Silvio Savarese
Edward Schmerling
Marco Pavone
15
9
0
17 Nov 2022
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed
  Representations
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
Linlin Liu
Xingxuan Li
Megh Thakkar
Xin Li
Shafiq R. Joty
Luo Si
Lidong Bing
27
2
0
16 Nov 2022
Harmonizing the object recognition strategies of deep neural networks
  with humans
Harmonizing the object recognition strategies of deep neural networks with humans
Thomas Fel
Ivan Felipe
Drew Linsley
Thomas Serre
33
71
0
08 Nov 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as
  Artificial Adversaries?
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Saadia Gabriel
Hamid Palangi
Yejin Choi
AAML
37
1
0
08 Nov 2022
Fair Visual Recognition via Intervention with Proxy Features
Fair Visual Recognition via Intervention with Proxy Features
Yi Zhang
Jitao Sang
Junyan Wang
23
1
0
02 Nov 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging
  of NLP Models
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
Dong-Ho Lee
Akshen Kadakia
Brihi Joshi
Aaron Chan
Ziyi Liu
...
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
LRM
40
9
0
30 Oct 2022
Universal Evasion Attacks on Summarization Scoring
Universal Evasion Attacks on Summarization Scoring
Wenchuan Mu
Kwan Hui Lim
AAML
32
1
0
25 Oct 2022
Deconfounding Legal Judgment Prediction for European Court of Human
  Rights Cases Towards Better Alignment with Experts
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts
Santosh T.Y.S.S
Shanshan Xu
O. Ichim
Matthias Grabmair
25
26
0
25 Oct 2022
Robust Self-Supervised Learning with Lie Groups
Robust Self-Supervised Learning with Lie Groups
Mark Ibrahim
Diane Bouchacourt
Ari S. Morcos
SSL
OOD
38
6
0
24 Oct 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer
  Data Augmentation
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
Phillip Howard
Gadi Singer
Vasudev Lal
Yejin Choi
Swabha Swayamdipta
CML
55
25
0
22 Oct 2022
Men Also Do Laundry: Multi-Attribute Bias Amplification
Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao
Jerone T. A. Andrews
Alice Xiang
FaML
41
20
0
21 Oct 2022
Finding Dataset Shortcuts with Grammar Induction
Finding Dataset Shortcuts with Grammar Induction
Dan Friedman
Alexander Wettig
Danqi Chen
25
14
0
20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
34
117
0
20 Oct 2022
DOT-VAE: Disentangling One Factor at a Time
DOT-VAE: Disentangling One Factor at a Time
Vaishnavi Patil
Matthew Evanusa
J. JáJá
CoGe
DRL
CML
23
1
0
19 Oct 2022
Transformers Learn Shortcuts to Automata
Transformers Learn Shortcuts to Automata
Bingbin Liu
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Cyril Zhang
OffRL
LRM
46
155
0
19 Oct 2022
Transferable Unlearnable Examples
Transferable Unlearnable Examples
J. Ren
Han Xu
Yuxuan Wan
Xingjun Ma
Lichao Sun
Jiliang Tang
36
36
0
18 Oct 2022
Understanding CNN Fragility When Learning With Imbalanced Data
Understanding CNN Fragility When Learning With Imbalanced Data
Damien Dablain
Kristen N. Jacobson
C. Bellinger
Mark Roberts
Nitesh V. Chawla
29
39
0
17 Oct 2022
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage
Sami U Hamdan
Bradley C. Love
G. V. Polier
Susanne Weis
H. Schwender
Simon B. Eickhoff
K. Patil
16
8
0
17 Oct 2022
Learning Less Generalizable Patterns with an Asymmetrically Trained
  Double Classifier for Better Test-Time Adaptation
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation
Thomas Duboudin
Emmanuel Dellandréa
Corentin Abgrall
Gilles Hénaff
Limin Chen
TTA
27
1
0
17 Oct 2022
The Debate Over Understanding in AI's Large Language Models
The Debate Over Understanding in AI's Large Language Models
Melanie Mitchell
D. Krakauer
ELM
74
203
0
14 Oct 2022
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised
  Learning
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning
J. Dominic
Nandita Bhaskhar
Arjun D Desai
Andrew M Schmidt
E. Rubin
...
G. Gold
B. Hargreaves
L. Lenchik
R. Boutin
Akshay S. Chaudhari
15
0
0
14 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Stefan Smeu
Elena Burceanu
Andrei Liviu Nicolicioiu
Emanuela Haller
32
4
0
06 Oct 2022
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
Andrea Valenti
D. Bacciu
Antonio Vergari
OOD
LRM
32
0
0
05 Oct 2022
Show, Interpret and Tell: Entity-aware Contextualised Image Captioning
  in Wikipedia
Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia
K. Nguyen
Ali Furkan Biten
Andrés Mafla
Lluís Gómez
Dimosthenis Karatzas
33
10
0
21 Sep 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Mobarakol Islam
Ben Glocker
OOD
32
6
0
20 Sep 2022
Fairness and robustness in anti-causal prediction
Fairness and robustness in anti-causal prediction
Maggie Makar
Alexander DÁmour
OOD
36
10
0
20 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models
Importance Tempering: Group Robustness for Overparameterized Models
Yiping Lu
Wenlong Ji
Zachary Izzo
Lexing Ying
39
7
0
19 Sep 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
Saliency Guided Adversarial Training for Learning Generalizable Features
  with Applications to Medical Imaging Classification System
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
Xin Li
Yao Qiang
Chengyin Li
Sijia Liu
D. Zhu
OOD
MedIm
29
4
0
09 Sep 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation
  and Captioning
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning
Olivia Wiles
Isabela Albuquerque
Sven Gowal
VLM
35
47
0
18 Aug 2022
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in
  Natural Language Understanding Dataset
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset
Zhihua Jin
Xingbo Wang
Furui Cheng
Chunhui Sun
Qun Liu
Huamin Qu
32
9
0
17 Aug 2022
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
Haoyuan He
Wang-Zhou Dai
Ming Li
AI4CE
34
2
0
14 Aug 2022
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical
  Machine Learning
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning
Trenton Chang
Michael Sjoding
Jenna Wiens
22
11
0
01 Aug 2022
Improving Fine-tuning of Self-supervised Models with Contrastive
  Initialization
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization
Haolin Pan
Yong Guo
Qinyi Deng
Hao-Fan Yang
Yiqun Chen
Jian Chen
SSL
18
19
0
30 Jul 2022
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