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71 Results
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Poster
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Tue 8:45 |
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu · Siyuan Li · Ge Wang · Lirong Wu · Cheng Tan · Stan Z. Li |
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Poster
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Wed 15:00 |
Fully Dynamic Sayan Bhattacharya · Martín Costa · Silvio Lattanzi · Nikos Parotsidis |
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Poster
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Tue 15:15 |
Self-Adaptive Motion Tracking against On-body Displacement of Flexible Sensors Chengxu Zuo · Fang Jiawei · Shihui Guo · Yipeng Qin |
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Poster
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Thu 8:45 |
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation Weihang Dai · Yao DU · Hanru Bai · Kwang-Ting Cheng · Xiaomeng Li |
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Poster
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Wed 15:00 |
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning Yiyou Sun · Zhenmei Shi · Yixuan Li |
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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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Tue 15:15 |
FLSL: Feature-level Self-supervised Learning Qing Su · Anton Netchaev · Hai Li · Shihao Ji |
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Poster
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Thu 8:45 |
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models Anant Raj · Umut Simsekli · Alessandro Rudi |
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Poster
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Wed 15:00 |
Causal Discovery in Semi-Stationary Time Series Shanyun Gao · Raghavendra Addanki · Tong Yu · Ryan Rossi · Murat Kocaoglu |
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Workshop
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Sat 9:45 |
Can Physics informed Neural Operators self improve? Ritam Majumdar · Amey Varhade · Shirish Karande · Lovekesh Vig |
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Poster
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Wed 15:00 |
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends Wang Xinrui · Wenhai Wan · Chuanxing Geng · Shao-Yuan Li · Songcan Chen |
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Poster
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Tue 15:15 |
Constant Approximation for Individual Preference Stable Clustering Anders Aamand · Justin Chen · Allen Liu · Sandeep Silwal · Pattara Sukprasert · Ali Vakilian · Fred Zhang |