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94 Results
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Poster
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Thu 16:30 |
Learning Cooperative Trajectory Representations for Motion Forecasting Hongzhi Ruan · Haibao Yu · Wenxian Yang · Siqi Fan · Zaiqing Nie |
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Workshop
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Active Learning for Affinity Prediction of Antibodies Alexandra Gessner · Sebastian Ober · Owen Vickery · Dino Oglic · Talip Ucar |
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Workshop
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Probabilistic Active Few-Shot Learning in Vision-Language Models Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp |
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Poster
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Fri 11:00 |
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning Adhyyan Narang · Andrew Wagenmaker · Lillian Ratliff · Kevin Jamieson |
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Workshop
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Probabilistic Active Few-Shot Learning in Vision-Language Models Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp |
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Poster
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Thu 11:00 |
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control Yuxin Xiao · Wan Chaoqun · Yonggang Zhang · Wenxiao Wang · Binbin Lin · Xiaofei He · Xu Shen · Jieping Ye |
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Poster
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Thu 16:30 |
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos Luigi Seminara · Giovanni Maria Farinella · Antonino Furnari |
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Workshop
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An Active Learning Performance Model for Parallel Bayesian Calibration of Expensive Simulations Özge Sürer · Stefan M. Wild |
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Workshop
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Active Learning for Neural PDE Solvers Daniel Musekamp · Marimuthu Kalimuthu · David Holzmüller · Makoto Takamoto · Mathias Niepert |
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Poster
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Fri 16:30 |
Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation Kaibo Zhang · Yunjuan Wang · Raman Arora |
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Workshop
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SkewAct: Red Teaming Large Language Models via Activation-Skewed Adversarial Prompt Optimization Hanxi Guo · Siyuan Cheng · Guanhong Tao · Guangyu Shen · Zhuo Zhang · Shengwei An · Kaiyuan Zhang · Xiangyu Zhang |
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Poster
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Wed 16:30 |
Amortized Active Causal Induction with Deep Reinforcement Learning Yashas Annadani · Panagiotis Tigas · Stefan Bauer · Adam Foster |