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Poster
Thu 16:30 Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
Yeonguk Yu · Minhwan Ko · Sungho Shin · Kangmin Kim · Kyoobin Lee
Poster
Thu 16:30 Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Chris Dongjoo Kim · Sangwoo Moon · Jihwan Moon · Dongyeon Woo · Gunhee Kim
Poster
Thu 16:30 Information-theoretic Limits of Online Classification with Noisy Labels
Changlong Wu · Ananth Grama · Wojciech Szpankowski
Poster
Thu 11:00 Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom
Tri Nguyen · Shahana Ibrahim · Xiao Fu
Poster
Fri 11:00 Label Delay in Online Continual Learning
Botos Csaba · Wenxuan Zhang · Matthias Müller · Ser Nam Lim · Philip Torr · Adel Bibi
Poster
Wed 16:30 HGDL: Heterogeneous Graph Label Distribution Learning
Yufei Jin · Heng Lian · Yi He · Xingquan Zhu
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
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
Poster
Fri 11:00 Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
Shuyao Li · Sushrut Karmalkar · Ilias Diakonikolas · Jelena Diakonikolas
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
Fri 11:00 Label Noise: Ignorance Is Bliss
Yilun Zhu · Jianxin Zhang · Aditya Gangrade · Clay Scott