Shortcut Learning in Deep Neural Networks

16 April 2020

Wieland Brendel

Papers citing "Shortcut Learning in Deep Neural Networks"

50 / 332 papers shown

Title
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis Teng Sun Wenjie Wang Liqiang Jing Yiran Cui Xuemeng Song Liqiang Nie OODD 24 35 0 24 Jul 2022
Leakage and the Reproducibility Crisis in ML-based Science Sayash Kapoor Arvind Narayanan 25 177 0 14 Jul 2022
Tutorial on the development of AI models for medical image analysis Thijs Kooi MedIm 16 0 0 14 Jul 2022
Can Language Models perform Abductive Commonsense Reasoning? Seung-Kyum Kim ReLM LRM 21 1 0 07 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 23 90 0 29 Jun 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 24 20 0 29 Jun 2022
Evaluating Understanding on Conceptual Abstraction Benchmarks Victor Vikram Odouard Melanie Mitchell ELM 22 14 0 28 Jun 2022
Guiding Visual Attention in Deep Convolutional Neural Networks Based on Human Eye Movements Leonard E. van Dyck Sebastian J. Denzler W. Gruber 14 9 0 21 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift? Yuge Shi Imant Daunhawer Julia E. Vogt Philip H. S. Torr Amartya Sanyal OOD 32 25 0 17 Jun 2022
The Importance of Background Information for Out of Distribution Generalization Jupinder Parmar Khaled Kamal Saab Brian Pogatchnik D. Rubin Christopher Ré OOD 16 0 0 17 Jun 2022
Rectify ViT Shortcut Learning by Visual Saliency Chong Ma Lin Zhao Yuzhong Chen David Liu Xi Jiang Tuo Zhang Xintao Hu Dinggang Shen Dajiang Zhu Tianming Liu ViT 30 20 0 17 Jun 2022
Self-Supervision on Images and Text Reduces Reliance on Visual Shortcut Features Anil Palepu Andrew L. Beam OOD VLM 21 5 0 14 Jun 2022
Metrics reloaded: Recommendations for image analysis validation Lena Maier-Hein Annika Reinke Patrick Godau M. Tizabi Florian Buettner ... Aleksei Tiulpin Sotirios A. Tsaftaris Ben Van Calster Gaël Varoquaux Paul F. Jäger 32 216 0 03 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 32 37 0 02 Jun 2022
Weakly Supervised Representation Learning with Sparse Perturbations Kartik Ahuja Jason S. Hartford Yoshua Bengio SSL 35 58 0 02 Jun 2022
Contrastive Siamese Network for Semi-supervised Speech Recognition S. Khorram Jaeyoung Kim Anshuman Tripathi Han Lu Qian Zhang Hasim Sak SSL 19 11 0 27 May 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks Shutong Wu Sizhe Chen Cihang Xie X. Huang AAML 45 27 0 24 May 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 42 109 0 23 May 2022
Recommendations on test datasets for evaluating AI solutions in pathology A. Homeyer Christian Geißler L. O. Schwen Falk Zakrzewski Theodore Evans ... Tobias Lang P. Boor Heimo Muller P. Hufnagl N. Zerbe 47 42 0 21 Apr 2022
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language Jacob Eisenstein CML 33 25 0 09 Apr 2022
Measuring AI Systems Beyond Accuracy Violet Turri R. Dzombak Eric T. Heim Nathan M. VanHoudnos Jay Palat Anusha Sinha 27 0 0 07 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 34 316 0 06 Apr 2022
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection Eike Petersen Aasa Feragen Maria Luise da Costa Zemsch A. Henriksen Oskar Eiler Wiese Christensen M. Ganz OOD 16 27 0 04 Apr 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru Aqeel Labash Oriol Corcoll Raul Vicente 20 26 0 30 Mar 2022
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation Xueyi Liu Xiaomeng Xu Anyi Rao Chuang Gan L. Yi 3DPC 24 14 0 13 Mar 2022
Mapping global dynamics of benchmark creation and saturation in artificial intelligence Simon Ott A. Barbosa-Silva Kathrin Blagec J. Brauner Matthias Samwald 24 36 0 09 Mar 2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning Weixin Liang Yuhui Zhang Yongchan Kwon Serena Yeung James Y. Zou VLM 40 388 0 03 Mar 2022
3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar Teresa Yeo Andrei Atanov Amir Zamir 3DPC 42 107 0 02 Mar 2022
Saving Dense Retriever from Shortcut Dependency in Conversational Search Sungdong Kim Gangwoo Kim 17 26 0 15 Feb 2022
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization Jiaan Wang Fandong Meng Ziyao Lu Duo Zheng Zhixu Li Jianfeng Qu Jie Zhou ELM 30 35 0 11 Feb 2022
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient Max W. Shen 25 18 0 10 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 16 25 0 10 Feb 2022
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics Arnav Varma Hemang Chawla Bahram Zonooz Elahe Arani ViT MDE 36 49 0 07 Feb 2022
Discovering Distribution Shifts using Latent Space Representations Leo Betthauser Urszula Chajewska M. Diesendruck Rohith Pesala OOD 16 5 0 04 Feb 2022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems Miguel Suau Jinke He M. Spaan F. Oliehoek 22 4 0 03 Feb 2022
Should I take a walk? Estimating Energy Expenditure from Video Data Kunyu Peng Alina Roitberg Kailun Yang Jiaming Zhang Rainer Stiefelhagen 11 4 0 01 Feb 2022
Fortuitous Forgetting in Connectionist Networks Hattie Zhou Ankit Vani Hugo Larochelle Aaron Courville CLL 16 42 0 01 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mañdziuk 120 41 0 28 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 19 23 0 27 Jan 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation Zayd Hammoudeh Daniel Lowd TDI 21 28 0 25 Jan 2022
Unveiling Project-Specific Bias in Neural Code Models Zhiming Li Yanzhou Li Tianlin Li Mengnan Du Bozhi Wu Yushi Cao Yi Li Yang Liu 31 5 0 19 Jan 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation Alisa Liu Swabha Swayamdipta Noah A. Smith Yejin Choi 50 211 0 16 Jan 2022
When less is more: Simplifying inputs aids neural network understanding R. Schirrmeister Rosanne Liu Sara Hooker T. Ball 24 5 0 14 Jan 2022
Building Human-like Communicative Intelligence: A Grounded Perspective M. Dubova 26 12 0 02 Jan 2022
Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui Xiang Wang Jiancan Wu Min-Bin Lin Xiangnan He Tat-Seng Chua CML OOD 17 152 0 30 Dec 2021
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently Futa Waseda Sosuke Nishikawa Trung-Nghia Le H. Nguyen Isao Echizen SILM 28 35 0 29 Dec 2021
On the Adversarial Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 46 63 0 21 Dec 2021
Global explainability in aligned image modalities Justin Engelmann Amos Storkey Miguel O. Bernabeu FAtt 22 4 0 17 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications Karin Stacke Jonas Unger Claes Lundström Gabriel Eilertsen OOD SSL 21 25 0 10 Dec 2021