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Poster
Fri 11:00 Label Noise: Ignorance Is Bliss
Yilun Zhu · Jianxin Zhang · Aditya Gangrade · Clay Scott
Poster
Thu 11:00 TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models
Zhen Chen · Yi Zhang · Fu Wang · Xingyu Zhao · Xiaowei Huang · Wenjie Ruan
Poster
Thu 11:00 Label Alignment Regularization for Distribution Shift
Ehsan Imani · Guojun Zhang · Runjia Li · Jun Luo · Pascal Poupart · Philip Torr · Yangchen Pan
Oral
Fri 15:50 Bayesian-guided Label Mapping for Visual Reprogramming
Chengyi Cai · Zesheng Ye · Lei Feng · Jianzhong Qi · Feng Liu
Poster
Fri 11:00 Label Delay in Online Continual Learning
Botos Csaba · Wenxuan Zhang · Matthias Müller · Ser Nam Lim · Philip Torr · Adel Bibi
Poster
Fri 16:30 Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels
Jan-Philipp Fraenken · Eric Zelikman · Rafael Rafailov · Kanishk Gandhi · Tobias Gerstenberg · Noah Goodman
Poster
Wed 16:30 Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods
Jiamian Hu · Hong Yuanyuan · Yihua Chen · He Wang · Moriaki Yasuhara
Poster
Thu 16:30 Information-theoretic Limits of Online Classification with Noisy Labels
Changlong Wu · Ananth Grama · Wojciech Szpankowski
Poster
Thu 11:00 PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics
Wassim Gabriel · Omar Shouman · Eva Ayla Schröder · Florian Bößl · Mathias Wilhelm
Poster
Wed 16:30 Learning from Noisy Labels via Conditional Distributionally Robust Optimization
Hui GUO · Grace Yi · Boyu Wang
Poster
Thu 11:00 Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation
Peng Tan · Hai-Tian Liu · Zhi-Hao Tan · Zhi-Hua Zhou
Poster
Thu 16:30 Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
Shiji Zhao · Ranjie Duan · xizhewang · Xingxing Wei