Shortcut Learning in Deep Neural Networks

16 April 2020

Wieland Brendel

Papers citing "Shortcut Learning in Deep Neural Networks"

50 / 310 papers shown

Title
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 25 20 0 17 Jun 2022
Self-Supervision on Images and Text Reduces Reliance on Visual Shortcut Features Anil Palepu Andrew L. Beam OOD VLM 13 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 25 214 0 03 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 29 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 8 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 42 26 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 42 108 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 44 42 0 21 Apr 2022
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language Jacob Eisenstein CML 31 25 0 09 Apr 2022
Measuring AI Systems Beyond Accuracy Violet Turri R. Dzombak Eric T. Heim Nathan M. VanHoudnos Jay Palat Anusha Sinha 22 0 0 07 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 34 314 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 13 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
3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar Teresa Yeo Andrei Atanov Amir Zamir 3DPC 35 107 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 31 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 20 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 6 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 18 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 25 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 39 212 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 21 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 22 35 0 29 Dec 2021
On the Adversarial Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 43 63 0 21 Dec 2021
Global explainability in aligned image modalities Justin Engelmann Amos Storkey Miguel O. Bernabeu FAtt 14 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
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research Bernard Koch Emily L. Denton A. Hanna J. Foster 36 140 0 03 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 175 89 0 02 Dec 2021
Improving mathematical questioning in teacher training Debajyoti Datta Maria Phillips J. Bywater Jennifer L. Chiu G. Watson Laura E. Barnes Donald E. Brown 14 0 0 02 Dec 2021
Learning Invariant Representations with Missing Data Mark Goldstein J. Jacobsen O. Chau A. Saporta A. Puli Rajesh Ranganath Andrew C. Miller OOD 15 5 0 01 Dec 2021
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking Ronen Tamari Kyle Richardson Aviad Sar-Shalom Noam Kahlon Nelson F. Liu Reut Tsarfaty Dafna Shahaf 35 5 0 30 Nov 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric P. Xing OOD 28 112 0 27 Nov 2021
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples Zhuoran Liu Zhengyu Zhao A. Kolmus Tijn Berns Twan van Laarhoven Tom Heskes Martha Larson AAML 35 6 0 25 Nov 2021
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation C. Ouyang C. L. P. Chen Surui Li Zeju Li C. Qin Wenjia Bai Daniel Rueckert OOD 25 155 0 24 Nov 2021
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples Linlin Liu Xin Li Ruidan He Lidong Bing Shafiq R. Joty Luo Si KELM 35 18 0 22 Nov 2021