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Automatic Shortcut Removal for Self-Supervised Representation Learning

International Conference on Machine Learning (ICML), 2020

20 February 2020

Olivier Bachem

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

48 / 48 papers shown

Title
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalizationComputer Vision and Pattern Recognition (CVPR), 2025 Shunxin Wang Raymond N. J. Veldhuis N. Strisciuglio VLM 268 0 0 05 Mar 2025
Time Series Viewmakers for Robust Disruption Prediction Dhruva Chayapathy Tavis Siebert Lucas Spangher Akshata Kishore Moharir Om Manoj Patil Cristina Rea 101 0 0 14 Oct 2024
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning? Shruthi Gowda Elahe Arani Bahram Zonooz 166 1 0 15 Apr 2024
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks Jinyung Hong Eunyeong Jeon Changhoon Kim Keun Hee Park Utkarsh Nath Yezhou Yang Pavan Turaga Theodore P. Pavlic CML 154 0 0 21 Mar 2024
Explore Spurious Correlations at the Concept Level in Language Models for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Yuhang Zhou Paiheng Xu Xiaoyu Liu Bang An Wei Ai Furong Huang LRM 271 43 0 15 Nov 2023
Protecting Publicly Available Data With Machine Learning ShortcutsBritish Machine Vision Conference (BMVC), 2023 Nicolas Müller Maximilian Burgert Pascal Debus Jennifer Williams Philip Sperl Konstantin Böttinger 103 0 0 30 Oct 2023
Group Robust Classification Without Any Group InformationNeural Information Processing Systems (NeurIPS), 2023 Christos Tsirigotis João Monteiro Pau Rodríguez David Vazquez Aaron Courville OOD 148 25 0 28 Oct 2023
On the Foundations of Shortcut LearningInternational Conference on Learning Representations (ICLR), 2023 Katherine Hermann Hossein Mobahi Thomas Fel M. C. Mozer VLM 221 53 0 24 Oct 2023
Addressing Feature Imbalance in Sound Source Separation Jaechang Kim Jeongyeon Hwang Soheun Yi Jaewoong Cho Jungseul Ok 160 0 0 11 Sep 2023
Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut FeaturesACM Multimedia (ACM MM), 2023 Yi Zhang Jitao Sang Junyan Wang Shihong Deng Yaowei Wang 106 9 0 13 Aug 2023
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning Shunxin Wang C. Brune Raymond N. J. Veldhuis N. Strisciuglio AAML 109 5 0 12 Aug 2023
Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression RecognitionIEEE International Conference on Computer Vision (ICCV), 2023 Isack Lee Eung-Joo Lee S. Yoo 131 34 0 21 Jul 2023
What do neural networks learn in image classification? A frequency shortcut perspectiveIEEE International Conference on Computer Vision (ICCV), 2023 Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio 119 35 0 19 Jul 2023
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency Tassilo Wald Constantin Ulrich Hyunjin Park David Zimmerer Gregor Koehler Michael Baumgartner Klaus H. Maier-Hein OOD 126 1 0 05 Jul 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 323 18 0 10 May 2023
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for HistopathologyNature Communications (Nat. Commun.), 2023 Ramin Nakhli Allen W. Zhang Katherine Rich Amirali Darbandsari Elahe Shenasa ... K. Milne J. McAlpine B. Nelson C. Gilks A. Bashashati 106 9 0 08 Mar 2023
When does Privileged Information Explain Away Label Noise?International Conference on Machine Learning (ICML), 2023 Guillermo Ortiz-Jiménez Mark Collier Anant Nawalgaria Alexander DÁmour Jesse Berent Rodolphe Jenatton E. Kokiopoulou NoLa 319 9 0 03 Mar 2023
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge EnsemblingComputers in Biology and Medicine (Comput Biol Med), 2022 Guang Li Ren Togo Takahiro Ogawa Miki Haseyama SSL 96 11 0 19 Dec 2022
Feature Dropout: Revisiting the Role of Augmentations in Contrastive LearningNeural Information Processing Systems (NeurIPS), 2022 Alex Tamkin Margalit Glasgow Xiluo He Noah D. Goodman SSL 161 10 0 16 Dec 2022
Domain Generalization by Learning and Removing Domain-specific FeaturesNeural Information Processing Systems (NeurIPS), 2022 Yuzhu Ding Lei Wang Binxin Liang Shuming Liang Yang Wang Fangxiao Chen OOD 154 53 0 14 Dec 2022
Avoiding spurious correlations via logit correctionInternational Conference on Learning Representations (ICLR), 2022 Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 186 35 0 02 Dec 2022
Localized Shortcut Removal Nicolas Müller Jochen Jacobs Jennifer Williams Konstantin Böttinger 116 1 0 24 Nov 2022
Learning Robust Representations for Continual Relation Extraction via Adversarial Class AugmentationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Peiyi Wang Yifan Song Tianyu Liu Binghuai Lin Yunbo Cao Sujian Li Zhifang Sui CLL SLR 124 30 0 10 Oct 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Yiyue Qian Yanfang Ye Chuxu Zhang SSL 175 6 0 16 Sep 2022
Detecting Shortcut Learning for Fair Medical AI using Shortcut TestingNature Communications (Nat Commun), 2022 Alex Brown Nenad Tomašev Jan Freyberg Yuan Liu Alan Karthikesalingam Jessica Schrouff 141 75 0 21 Jul 2022
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 139 41 0 06 Jun 2022
Eye-gaze-guided Vision Transformer for Rectifying Shortcut LearningIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Chong Ma Lin Zhao Yuzhong Chen Lu Zhang Zhe Xiao ... Tuo Zhang Qian Wang Dinggang Shen Dajiang Zhu Tianming Liu ViT MedIm 153 39 0 25 May 2022
Harmonizing Pathological and Normal Pixels for Pseudo-healthy SynthesisIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Yunlong Zhang Xin Lin Yihong Zhuang LiyanSun Yue Huang Xinghao Ding Guisheng Wang Ling Yang Yizhou Yu MedIm 64 7 0 29 Mar 2022
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging dataInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022 A. Dmitrenko M. M. Masiero N. Zamboni MedIm 86 8 0 07 Mar 2022
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching NetworksComputer Vision and Pattern Recognition (CVPR), 2022 Weiqin Chuah Ruwan Tennakoon R. Hoseinnezhad A. Bab-Hadiashar David Suter OOD 156 52 0 06 Jan 2022
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models Tianlu Wang Rohit Sridhar Diyi Yang Xuezhi Wang AAML 264 83 0 14 Oct 2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization OpportunitiesIEEE International Conference on Computer Vision (ICCV), 2021 Elias Eulig Piyapat Saranrittichai Chaithanya Kumar Mummadi K. Rambach William H. Beluch Xiahan Shi Volker Fischer 272 11 0 12 Aug 2021
Object-aware Contrastive Learning for Debiased Scene RepresentationNeural Information Processing Systems (NeurIPS), 2021 Sangwoo Mo H. Kang Kihyuk Sohn Chun-Liang Li Jinwoo Shin SSL OCL 210 54 0 30 Jul 2021
Parametric Scattering NetworksComputer Vision and Pattern Recognition (CVPR), 2021 Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 200 21 0 20 Jul 2021
Geographical Knowledge-driven Representation Learning for Remote Sensing Images Wenyuan Li Keyan Chen Hao Chen Zhenwei Shi SSL 130 77 0 12 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation Jungsoo Lee Eungyeup Kim Juyoung Lee Jihyeon Janel Lee Jaegul Choo CML 197 172 0 03 Jul 2021
Can contrastive learning avoid shortcut solutions?Neural Information Processing Systems (NeurIPS), 2021 Joshua Robinson Li Sun Ke Yu Kayhan Batmanghelich Stefanie Jegelka S. Sra SSL 194 155 0 21 Jun 2021
Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning Weiqin Chuah Ruwan Tennakoon A. Bab-Hadiashar David Suter OOD 134 0 0 15 Jun 2021
A Too-Good-to-be-True Prior to Reduce Shortcut ReliancePattern Recognition Letters (PR), 2021 Nikolay Dagaev Brett D. Roads Xiaoliang Luo Daniel N. Barry Kaustubh R. Patil Bradley C. Love 147 10 0 12 Feb 2021
MASKER: Masked Keyword Regularization for Reliable Text ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2020 S. Moon Sangwoo Mo Kimin Lee Jaeho Lee Jinwoo Shin 143 39 0 17 Dec 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 160 25 0 19 Nov 2020
Unsupervised Contrastive Learning of Sound Event RepresentationsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Eduardo Fonseca Diego Ortego Kevin McGuinness Noel E. O'Connor Xavier Serra SSL 92 70 0 15 Nov 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 186 68 0 14 Oct 2020
Generator Versus Segmentor: Pseudo-healthy SynthesisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020 Yunlong Zhang Li Chenxin Liyan Sun Xin Lin Yihong Zhuang Yue Huang Ding Xinghao Xiaoqing Liu Yizhou Yu MedIm 103 27 0 12 Sep 2020
A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks H. H. Mao BDL SSL 106 54 0 01 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 338 440 0 29 Jun 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 231 1,453 0 20 May 2020
Shortcut Learning in Deep Neural NetworksNature Machine Intelligence (NMI), 2020 Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 634 2,320 0 16 Apr 2020