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Poster
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Tue 18:30 |
Knowledge Removal in Sampling-based Bayesian Inference Shaopeng Fu · Fengxiang He · Dacheng Tao |
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Poster
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Tue 18:30 |
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? Ziang Song · Song Mei · Yu Bai |
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Poster
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Mon 10:30 |
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling Thomas Gilles · Stefano Sabatini · Dzmitry Tsishkou · Bogdan Stanciulescu · Fabien Moutarde |
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Poster
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Wed 10:30 |
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation Vincent Mai · Kaustubh Mani · Liam Paull |
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Poster
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Mon 2:30 |
Learning to Generalize across Domains on Single Test Samples Zehao Xiao · Xiantong Zhen · Ling Shao · Cees G Snoek |
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Poster
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Tue 18:30 |
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning Chaoning Zhang · Kang Zhang · Chenshuang Zhang · Trung X. Pham · Chang Yoo · In Kweon |
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Spotlight
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Tue 18:30 |
Sampling with Mirrored Stein Operators Jiaxin Shi · Chang Liu · Lester Mackey |
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Poster
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Thu 18:30 |
Denoising Likelihood Score Matching for Conditional Score-based Data Generation Chen-Hao Chao · Wei-Fang Sun · Bo-Wun Cheng · Yi-Chen Lo · Chia-Che Chang · Yu-Lun Liu · Yu-Lin Chang · Chia-Ping Chen · Chun-Yi Lee |
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Poster
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Wed 10:30 |
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series Satya Narayan Shukla · Benjamin M Marlin |
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Oral
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Thu 1:00 |
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme Vadim Popov · Ivan Vovk · Vladimir Gogoryan · Tasnima Sadekova · Mikhail Kudinov · Jiansheng Wei |
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Poster
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Thu 18:30 |
Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game Ziyi Chen · Shaocong Ma · Yi Zhou |
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Poster
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Thu 10:30 |
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels Xiaobo Xia · Tongliang Liu · Bo Han · Mingming Gong · Jun Yu · Gang Niu · Masashi Sugiyama |