Shortcut Learning in Deep Neural Networks

16 April 2020

Wieland Brendel

Papers citing "Shortcut Learning in Deep Neural Networks"

50 / 310 papers shown

Title
Online Prototype Learning for Online Continual Learning Yujie Wei Jiaxin Ye Zhizhong Huang Junping Zhang Hongming Shan CLL OnRL 27 39 0 01 Aug 2023
Toward Transparent Sequence Models with Model-Based Tree Markov Model Chan Hsu Wei Huang Jun-Ting Wu Chih-Yuan Li Yihuang Kang 26 0 0 28 Jul 2023
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 58 7 0 18 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 89 1 0 17 Jul 2023
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 27 0 0 03 Jul 2023
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 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 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? Felix Wichmann Robert Geirhos 32 25 0 26 May 2023
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 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 Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 32 2 0 23 May 2023
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 Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 31 64 0 18 May 2023
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples Wanzhu Jiang Yunfeng Diao He-Nan Wang Jianxin Sun M. Wang Richang Hong 37 18 0 16 May 2023
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 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 Rui Hu Yahan Tu Jitao Sang 27 2 0 06 May 2023
Frequency Decomposition to Tap the Potential of Single Domain for Generalization Qing-sheng Yang Hongjing Niu Pengfei Xia Wei Zhang Bin Li OOD 26 0 0 14 Apr 2023
One Explanation Does Not Fit XIL Felix Friedrich David Steinmann Kristian Kersting LRM 35 2 0 14 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 23 6 0 13 Apr 2023
Do deep neural networks have an inbuilt Occam's razor? Chris Mingard Henry Rees Guillermo Valle Pérez A. Louis UQCV BDL 19 15 0 13 Apr 2023
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging Yuanyuan Wei Roger Tam Xiaoying Tang MedIm 14 12 0 13 Apr 2023
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 Haoxuan Che Si Chen Haoxing Chen 38 16 0 27 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 36 0 0 24 Mar 2023
The Representational Status of Deep Learning Models Eamon Duede 19 0 0 21 Mar 2023
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 Behnam Khojasteh Friedrich Solowjow Sebastian Trimpe K. J. Kuchenbecker 11 5 0 08 Mar 2023
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 M. A. Musallam Vincent Gaudillière Djamila Aouada SSL 40 2 0 04 Mar 2023
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 Yanchen Liu Jing Yang Yan Chen Jing Liu Huaqin Wu MoE 39 2 0 28 Feb 2023
Amortised Invariance Learning for Contrastive Self-Supervision Ruchika Chavhan H. Gouk Jan Stuehmer Calum Heggan Mehrdad Yaghoobi Timothy M. Hospedales SSL 32 11 0 24 Feb 2023
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 Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 37 7 0 18 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn VLM 24 9 0 10 Feb 2023
The Science of Detecting LLM-Generated Texts Ruixiang Tang Yu-Neng Chuang Xia Hu DeLMO 33 168 0 04 Feb 2023
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization Lukas Haas Silas Alberti Michal Skreta VLM 23 21 0 01 Feb 2023
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 24 10 0 30 Jan 2023
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 Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 50 11 0 29 Jan 2023
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 Sumukh K Aithal Anirudh Goyal Alex Lamb Yoshua Bengio Michael C. Mozer MDE 29 0 0 27 Jan 2023
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 18 3 0 27 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation Younghyun Kim Sangwoo Mo Minkyu Kim Kyungmin Lee Jaeho Lee Jinwoo Shin 37 30 0 26 Jan 2023
Circumventing interpretability: How to defeat mind-readers Lee D. Sharkey 35 3 0 21 Dec 2022
Task Ambiguity in Humans and Language Models Alex Tamkin Kunal Handa Ava Shrestha Noah D. Goodman UQLM 41 22 0 20 Dec 2022
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 31 13 0 14 Dec 2022
Domain Generalization by Learning and Removing Domain-specific Features Yuzhu Ding Lei Wang Binxin Liang Shuming Liang Yang Wang Fangxiao Chen OOD 24 40 0 14 Dec 2022