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23 Results
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Poster
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ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations Xuyang Zhao · Tianqi Du · Yisen Wang · Jun Yao · Weiran Huang |
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Poster
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Mon 7:30 |
Can CNNs Be More Robust Than Transformers? Zeyu Wang · Yutong Bai · Yuyin Zhou · Cihang Xie |
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Poster
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Wed 2:30 |
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement Yoonho Lee · Huaxiu Yao · Chelsea Finn |
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Poster
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Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin · Tong Zhao · Jiayuan Ding · Yozen Liu · Jiliang Tang · Neil Shah |
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Workshop
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Thu 4:00 |
Conservative Prediction via Transductive Confidence Minimization Caroline Choi · Fahim Tajwar · Yoonho Lee · Huaxiu Yao · Ananya Kumar · Chelsea Finn |
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Poster
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Tue 2:30 |
Topology-aware Robust Optimization for Out-of-Distribution Generalization Fengchun Qiao · Xi Peng |
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Workshop
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Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator Sicheng Zhu · Bang An · Furong Huang · Sanghyun Hong |
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Oral
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Mon 6:00 |
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger · Carsten Lüth · Lukas Klein · Till Bungert |
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Poster
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Mon 7:30 |
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger · Carsten Lüth · Lukas Klein · Till Bungert |
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Poster
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Mon 7:30 |
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks Sravanti Addepalli · Anshul Hemant Nasery · Venkatesh Babu Radhakrishnan · Praneeth Netrapalli · Prateek Jain |
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Poster
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Mon 7:30 |
Constraining Representations Yields Models That Know What They Don't Know Joao Monteiro · Pau Rodriguez Lopez · Pierre-André Noël · Issam Laradji · David Vazquez |
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Workshop
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Fri 9:10 |
FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts Yongxin Guo · Xiaoying Tang · Tao Lin |