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255 Results
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Workshop
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Measuring Pre-training Data Quality without Labels for Time Series Foundation Models Songkang Wen · Vasilii Feofanov · Jianfeng Zhang |
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Poster
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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 |
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Poster
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Thu 11:00 |
Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation Peng Tan · Hai-Tian Liu · Zhi-Hao Tan · Zhi-Hua Zhou |
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Poster
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Thu 16:30 |
A Label is Worth A Thousand Images in Dataset Distillation Tian Qin · Zhiwei Deng · David Alvarez-Melis |
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Poster
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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 |
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Poster
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Thu 16:30 |
-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise Jialiang Wang · Xiong Zhou · Deming Zhai · Junjun Jiang · Xiangyang Ji · Xianming Liu |
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Poster
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Wed 16:30 |
HGDL: Heterogeneous Graph Label Distribution Learning Yufei Jin · Heng Lian · Yi He · Xingquan Zhu |
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Workshop
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Sun 16:30 |
Impact of Label Noise on Learning Complex Features Rahul Vashisht · P Kumar · Harsha Vardhan Govind · Harish Guruprasad Ramaswamy |
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Workshop
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Label Noise: Ignorance Is Bliss Yilun Zhu · Jianxin Zhang · Aditya Gangrade · Clay Scott |
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Poster
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Wed 16:30 |
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen · Ankit Shah · Jindong Wang · Ran Tao · Yidong Wang · Xiang Li · Xing Xie · Masashi Sugiyama · Rita Singh · Bhiksha Raj |
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Affinity Event
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Communication-Efficient Decentralized Continual Learning Sakshi Choudhary · Sai Aparna Aketi · Gobinda Saha · Kaushik Roy |
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Poster
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Wed 11:00 |
Efficient Graph Matching for Correlated Stochastic Block Models Shuwen Chai · Miklos Z. Racz |