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57 Results
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Workshop
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Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation Shreyas Havaldar · Navodita Sharma · Shubhi Sareen · Karthikeyan Shanmugam · Aravindan Raghuveer |
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Poster
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Wed 8:45 |
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers Zhenglin Huang · Xiaoan Bao · Na Zhang · Qingqi Zhang · Xiao Tu · Biao Wu · Xi Yang |
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Poster
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Wed 15:00 |
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice Dayou Yu · Weishi Shi · Qi Yu |
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Poster
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Tue 15:15 |
PAC Learning Linear Thresholds from Label Proportions Anand Brahmbhatt · Rishi Saket · Aravindan Raghuveer |
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Workshop
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How does semi-supervised learning with pseudo-labelers work? A case study Yiwen Kou · Zixiang Chen · Yuan Cao · Quanquan Gu |
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Poster
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Thu 15:00 |
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels Jian Chen · Ruiyi Zhang · Tong Yu · Rohan Sharma · Zhiqiang Xu · Tong Sun · Changyou Chen |
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Workshop
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LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang · Yifang Chen · Gregory Canal · Stephen Mussmann · Yinglun Zhu · Simon Du · Kevin Jamieson · Robert Nowak |
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Workshop
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Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach Karuna Bhaila · Wen Huang · Yongkai Wu · Xintao Wu |
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Poster
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Wed 15:00 |
Promises and Pitfalls of Threshold-based Auto-labeling Harit Vishwakarma · Heguang Lin · Frederic Sala · Ramya Korlakai Vinayak |
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Poster
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Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning Chengliang Liu · Jie Wen · Yabo Liu · Chao Huang · Zhihao Wu · Xiaoling Luo · Yong Xu |
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Poster
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Thu 8:45 |
Easy Learning from Label Proportions Róbert Busa-Fekete · Heejin Choi · Travis Dick · Claudio Gentile · Andres Munoz Medina |
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Poster
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Wed 8:45 |
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation Jun-Yi Hang · Min-Ling Zhang |