ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.07780
  4. Cited By
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
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models'
  Over-Reliance on Superficial Clue
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue
Yanrui Du
Sendong Zhao
Yuhan Chen
Rai Bai
Jing Liu
Huaqin Wu
Haifeng Wang
Bing Qin
40
2
0
08 Sep 2023
dacl1k: Real-World Bridge Damage Dataset Putting Open-Source Data to the
  Test
dacl1k: Real-World Bridge Damage Dataset Putting Open-Source Data to the Test
Johannes Flotzinger
Philipp J. Rösch
Norbert Oswald
T. Braml
23
0
0
07 Sep 2023
Learning Diverse Features in Vision Transformers for Improved
  Generalization
Learning Diverse Features in Vision Transformers for Improved Generalization
A. Nicolicioiu
Andrei Liviu Nicolicioiu
B. Alexe
Damien Teney
33
3
0
30 Aug 2023
Spurious Correlations and Where to Find Them
Spurious Correlations and Where to Find Them
Gautam Sreekumar
Vishnu Naresh Boddeti
CML
20
3
0
21 Aug 2023
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious
  Correlations?
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
Phuong Quynh Le
Jorg Schlotterer
Christin Seifert
OOD
16
6
0
01 Aug 2023
Online Prototype Learning for Online Continual Learning
Online Prototype Learning for Online Continual Learning
Yujie Wei
Jiaxin Ye
Zhizhong Huang
Junping Zhang
Hongming Shan
CLL
OnRL
30
39
0
01 Aug 2023
Toward Transparent Sequence Models with Model-Based Tree Markov Model
Toward Transparent Sequence Models with Model-Based Tree Markov Model
Chan Hsu
Wei Huang
Jun-Ting Wu
Chih-Yuan Li
Yihuang Kang
28
0
0
28 Jul 2023
Causality-oriented robustness: exploiting general noise interventions
Causality-oriented robustness: exploiting general noise interventions
Xinwei Shen
Peter Buhlmann
Armeen Taeb
OOD
65
7
0
18 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
92
1
0
17 Jul 2023
Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data
Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data
Adnan Qayyum
Hassan Ali
Massimo Caputo
H. Vohra
Taofeek Akinosho
Sofiat Abioye
Ilhem Berrou
Paweł Capik
Junaid Qadir
Muhammad Bilal
39
0
0
03 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
16
5
0
19 Jun 2023
Improving neural network representations using human similarity
  judgments
Improving neural network representations using human similarity judgments
Lukas Muttenthaler
Lorenz Linhardt
Jonas Dippel
Robert A. Vandermeulen
Katherine L. Hermann
Andrew Kyle Lampinen
Simon Kornblith
40
29
0
07 Jun 2023
Faith and Fate: Limits of Transformers on Compositionality
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri
Ximing Lu
Melanie Sclar
Xiang Lorraine Li
Liwei Jian
...
Sean Welleck
Xiang Ren
Allyson Ettinger
Zaïd Harchaoui
Yejin Choi
ReLM
LRM
30
328
0
29 May 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual
  Perception?
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
Felix Wichmann
Robert Geirhos
32
25
0
26 May 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for
  Domain Generalization
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization
Yunze Tong
Junkun Yuan
Min Zhang
Di-hua Zhu
Keli Zhang
Fei Wu
Kun Kuang
28
7
0
25 May 2023
Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic
  Modeling of life histories of the Museum of the Person
Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person
L. Gris
R. Marcacini
Arnaldo Cândido Júnior
Edresson Casanova
A. S. Soares
S. Aluísio
13
7
0
23 May 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
37
2
0
23 May 2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK
  Features
How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features
Simone Bombari
Marco Mondelli
AAML
19
4
0
20 May 2023
Semantic Anomaly Detection with Large Language Models
Semantic Anomaly Detection with Large Language Models
Amine Elhafsi
Rohan Sinha
Christopher Agia
Edward Schmerling
I. Nesnas
Marco Pavone
34
64
0
18 May 2023
Unlearnable Examples Give a False Sense of Security: Piercing through
  Unexploitable Data with Learnable Examples
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples
Wanzhu Jiang
Yunfeng Diao
He-Nan Wang
Jianxin Sun
Hao Wu
Richang Hong
37
18
0
16 May 2023
What's the Meaning of Superhuman Performance in Today's NLU?
What's the Meaning of Superhuman Performance in Today's NLU?
Simone Tedeschi
Johan Bos
T. Declerck
Jan Hajic
Daniel Hershcovich
...
Simon Krek
Steven Schockaert
Rico Sennrich
Ekaterina Shutova
Roberto Navigli
ELM
LM&MA
VLM
ReLM
LRM
34
26
0
15 May 2023
Consistency Regularization for Domain Generalization with Logit
  Attribution Matching
Consistency Regularization for Domain Generalization with Logit Attribution Matching
Han Gao
Kaican Li
Weiyan Xie
Zhi Lin
Yongxiang Huang
Luning Wang
Caleb Chen Cao
N. Zhang
13
2
0
13 May 2023
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo
  Chamber
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber
Rui Hu
Yahan Tu
Jitao Sang
27
2
0
06 May 2023
Frequency Decomposition to Tap the Potential of Single Domain for
  Generalization
Frequency Decomposition to Tap the Potential of Single Domain for Generalization
Qing-sheng Yang
Hongjing Niu
Pengfei Xia
Wei Zhang
Bin Li
OOD
31
0
0
14 Apr 2023
One Explanation Does Not Fit XIL
One Explanation Does Not Fit XIL
Felix Friedrich
David Steinmann
Kristian Kersting
LRM
37
2
0
14 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning
LSFSL: Leveraging Shape Information in Few-shot Learning
Deepan Padmanabhan
Shruthi Gowda
Elahe Arani
Bahram Zonooz
25
6
0
13 Apr 2023
Do deep neural networks have an inbuilt Occam's razor?
Do deep neural networks have an inbuilt Occam's razor?
Chris Mingard
Henry Rees
Guillermo Valle Pérez
A. Louis
UQCV
BDL
21
15
0
13 Apr 2023
MProtoNet: A Case-Based Interpretable Model for Brain Tumor
  Classification with 3D Multi-parametric Magnetic Resonance Imaging
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging
Yuanyuan Wei
Roger Tam
Xiaoying Tang
MedIm
16
12
0
13 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lorenz Linhardt
Klaus-Robert Muller
G. Montavon
AAML
23
7
0
12 Apr 2023
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Haoxuan Che
Si Chen
Haoxing Chen
38
16
0
27 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
44
0
0
24 Mar 2023
The Representational Status of Deep Learning Models
The Representational Status of Deep Learning Models
Eamon Duede
19
0
0
21 Mar 2023
Mark My Words: Dangers of Watermarked Images in ImageNet
Mark My Words: Dangers of Watermarked Images in ImageNet
Kirill Bykov
Klaus-Robert Muller
Marina M.-C. Höhne
43
4
0
09 Mar 2023
Multimodal Multi-User Surface Recognition with the Kernel Two-Sample
  Test
Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test
Behnam Khojasteh
Friedrich Solowjow
Sebastian Trimpe
K. J. Kuchenbecker
18
5
0
08 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli
M. A. Alam
Bruno Ribeiro
OOD
29
4
0
06 Mar 2023
Self-Supervised Learning for Place Representation Generalization across
  Appearance Changes
Self-Supervised Learning for Place Representation Generalization across Appearance Changes
M. A. Musallam
Vincent Gaudillière
Djamila Aouada
SSL
40
2
0
04 Mar 2023
Convolutional Visual Prompt for Robust Visual Perception
Convolutional Visual Prompt for Robust Visual Perception
Yun-Yun Tsai
Chengzhi Mao
Junfeng Yang
VLM
VPVLM
31
13
0
01 Mar 2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Yanchen Liu
Jing Yang
Yan Chen
Jing Liu
Huaqin Wu
MoE
47
2
0
28 Feb 2023
Amortised Invariance Learning for Contrastive Self-Supervision
Amortised Invariance Learning for Contrastive Self-Supervision
Ruchika Chavhan
H. Gouk
Jan Stuehmer
Calum Heggan
Mehrdad Yaghoobi
Timothy M. Hospedales
SSL
40
11
0
24 Feb 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
29
1
0
22 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of
  Training Dynamics
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
Nihal Murali
A. Puli
Ke Yu
Rajesh Ranganath
Kayhan Batmanghelich
AAML
40
8
0
18 Feb 2023
Analyzing the Effectiveness of the Underlying Reasoning Tasks in
  Multi-hop Question Answering
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering
Xanh Ho
A. Nguyen
Saku Sugawara
Akiko Aizawa
LRM
41
7
0
12 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
29
9
0
10 Feb 2023
The Science of Detecting LLM-Generated Texts
The Science of Detecting LLM-Generated Texts
Ruixiang Tang
Yu-Neng Chuang
Xia Hu
DeLMO
39
169
0
04 Feb 2023
Learning Generalized Zero-Shot Learners for Open-Domain Image
  Geolocalization
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization
Lukas Haas
Silas Alberti
Michal Skreta
VLM
30
21
0
01 Feb 2023
Benchmarking Robustness to Adversarial Image Obfuscations
Benchmarking Robustness to Adversarial Image Obfuscations
Florian Stimberg
Ayan Chakrabarti
Chun-Ta Lu
Hussein Hazimeh
Otilia Stretcu
...
Merve Kaya
Cyrus Rashtchian
Ariel Fuxman
Mehmet Tek
Sven Gowal
AAML
29
10
0
30 Jan 2023
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object
  Classification
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification
Ali Borji
VLM
37
0
0
29 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Erdun Gao
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Anton van den Hengel
AI4CE
55
11
0
29 Jan 2023
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution
  Generalization of VQA Models
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models
Ali Borji
CoGe
10
1
0
28 Jan 2023
Leveraging the Third Dimension in Contrastive Learning
Leveraging the Third Dimension in Contrastive Learning
Sumukh K Aithal
Anirudh Goyal
Alex Lamb
Yoshua Bengio
Michael C. Mozer
MDE
29
0
0
27 Jan 2023
Previous
1234567
Next