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Poster
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Wed 16:30
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Uncovering Safety Risks of Large Language Models through Concept Activation Vector
Zhihao Xu · Ruixuan HUANG · Changyu Chen · Xiting Wang
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Poster
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Thu 16:30
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ESPACE: Dimensionality Reduction of Activations for Model Compression
Charbel Sakr · Brucek Khailany
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Workshop
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Exploring and Addressing Reward Confusion in Offline Preference Learning
Xin Chen, Cynthia · Sam Toyer · Florian Shkurti
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Poster
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Fri 11:00
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Activating Self-Attention for Multi-Scene Absolute Pose Regression
Miso Lee · Jihwan Kim · Jae-Pil Heo
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Poster
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Fri 11:00
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Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL
Enoch H. Kang · P. R. Kumar
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Workshop
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Randomly Pivoted V-optimal Design: Fast Data Selection under Low Intrinsic Dimension
Yijun Dong · Xiang Pan · Viet Hoang Phan · Qi Lei
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Poster
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Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
Wenlin Chen · Hong Ge
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Workshop
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Active Learning for Energy-Based Antibody Optimization and Enhanced Screening
Kairi Furui · Masahito Ohue
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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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Poster
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Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection
Yinxuan Huang · Chengmin Gao · Bin Li · Xiangyang Xue
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Poster
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Wed 11:00
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Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
Nicolás Astorga · Tennison Liu · Nabeel Seedat · Mihaela van der Schaar
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Poster
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Fri 11:00
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Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
Adhyyan Narang · Andrew Wagenmaker · Lillian Ratliff · Kevin Jamieson
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