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57 Results
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Poster
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Thu 8:45 |
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems Zhendong Chu · Nan Wang · Hongning Wang |
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Poster
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Tue 15:15 |
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization Alex Foo · Wynne Hsu · Mong Li Lee |
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Poster
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Thu 15:00 |
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning Florian Felten · Lucas N. Alegre · Ann Nowe · Ana Bazzan · El Ghazali Talbi · Grégoire Danoy · Bruno C. da Silva |
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Workshop
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MOFL/D: A Federated Multi-objective Learning Framework with Decomposition Maria Hartmann · Grégoire Danoy · Mohammed Alswaitti · Pascal Bouvry |
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Poster
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Tue 8:45 |
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects Isabella Liu · Linghao Chen · Ziyang Fu · Liwen Wu · Haian Jin · Zhong Li · Chin Ming Ryan Wong · Yi Xu · Ravi Ramamoorthi · Zexiang Xu · Hao Su |
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Poster
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Thu 8:45 |
Linear Time Algorithms for k-means with Multi-Swap Local Search Junyu Huang · Qilong Feng · Ziyun Huang · Jinhui Xu · Jianxin Wang |
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Poster
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Tue 8:45 |
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection Sujin Jang · Dae Ung Jo · Sung Ju Hwang · Dongwook Lee · Daehyun Ji |
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Poster
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Thu 8:45 |
Multi-modal Queried Object Detection in the Wild Yifan Xu · Mengdan Zhang · Chaoyou Fu · Peixian Chen · Xiaoshan Yang · Ke Li · Changsheng Xu |
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Poster
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Tue 15:15 |
M Jonggyu Jang · Sangwoo Oh · Youjin Kim · Dongmin Seo · Youngchol Choi · Hyun Jong Yang |
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Workshop
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Discovering Temporally-Aware Reinforcement Learning Algorithms Matthew T Jackson · Chris Lu · Louis Kirsch · Robert Lange · Shimon Whiteson · Jakob Foerster |
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Poster
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Tue 8:45 |
Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk David Simchi-Levi · Zeyu Zheng · Feng Zhu |
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Workshop
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Multi-Task Learning with Self-Supervised Objectives can Improve Worst-Group Outcomes Atharva Kulkarni · Lucio M Dery · Amrith Setlur · Aditi Raghunathan · Ameet Talwalkar · Graham Neubig |