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Workshop
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Model Exploration through Marginal Likelihood Entropy Maximisation
Daniel Jarne Ornia · Joel Dyer · Nicholas Bishop · Anisoara Calinescu · Michael Wooldridge
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Workshop
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Fostering Intrinsic Motivation in Reinforcement Learning with Pre-trained Foundation Models
Alain Andres · Javier Del Ser
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Poster
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Wed 11:00
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Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
Yule Wang · Chengrui Li · Weihan Li · Anqi Wu
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Poster
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Wed 11:00
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From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
Kevin Christian Wibisono · Yixin Wang
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Workshop
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Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models
Divij Gupta · Anubhav Bhatti · Surajsinh Parmar
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Workshop
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Sun 16:07
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Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yao Zhu, Yiqiang Chen, Qiang Yang, Xing Xie & Xiangyang Ji. ZOOPFL: Exploring Black-box Foundation Models for Personalized Federated Learning
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Workshop
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Sun 9:14
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Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin & Barbara Hammer. Adaptive Model Hybrid Pruning in Federated Learning through Loss Exploration
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Workshop
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Incentivizing Exploration With Causal Curiosity as Intrinsic Motivation
Elias DURAND · Mehdi Khamassi
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Workshop
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Does Representation Matter? Exploring Intermediate Layers in Large Language Models
Oscar Skean · Md Rifat Arefin · Ravid Shwartz-Ziv
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Poster
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Fri 16:30
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E3: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset
wang lin · Yueying Feng · WenKang Han · Tao Jin · Zhou Zhao · Fei Wu · Chang Yao · Jingyuan Chen
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Workshop
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Optimizing Reward Models with Proximal Policy Exploration in Preference-Based Reinforcement Learning
Yiwen Zhu · Jinyi Liu · Yifu Yuan · Wenya Wei · Zhenxing Ge · qianyi fu · Zhou Fang · Yujing Hu · Bo An
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Poster
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Thu 11:00
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Exploring Molecular Pretraining Model at Scale
xiaohong ji · Zhen Wang · Zhifeng Gao · Hang Zheng · Linfeng Zhang · Guolin Ke · Weinan E
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