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57 Results
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Oral
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Tue 6:20 |
Generative Augmented Flow Networks Ling Pan · Dinghuai Zhang · Aaron Courville · Longbo Huang · Yoshua Bengio |
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Poster
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Tue 2:30 |
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task Kenneth Li · Aspen Hopkins · David Bau · Fernanda Viégas · Hanspeter Pfister · Martin Wattenberg |
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Poster
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Wed 7:30 |
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders Youngwan Lee · Jeff Willette · Jonghee Kim · Juho Lee · Sung Ju Hwang |
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Poster
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Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process Shi Fu · Yunwen Lei · Qiong Cao · Xinmei Tian · Dacheng Tao |
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Oral
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Mon 7:10 |
Learning About Progress From Experts Jake Bruce · Ankit Anand · Bogdan Mazoure · Rob Fergus |
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Oral
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Tue 1:20 |
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task Kenneth Li · Aspen Hopkins · David Bau · Fernanda Viégas · Hanspeter Pfister · Martin Wattenberg |
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Poster
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How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules Yutong Xie · Ziqiao Xu · Jiaqi Ma · Qiaozhu Mei |
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Poster
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Wed 7:30 |
GOOD: Exploring geometric cues for detecting objects in an open world Haiwen Huang · Andreas Geiger · Dan Zhang |
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Workshop
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Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration Chentian Jiang · Nan Rosemary Ke · Hado van Hasselt |
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Poster
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Mon 7:30 |
Exploring perceptual straightness in learned visual representations Anne Harrington · Vasha DuTell · Ayush Tewari · Mark Hamilton · Simon Stent · Ruth Rosenholtz · William Freeman |
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Poster
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Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo · Zhuoxiao Chen · Zijian Wang · Xin Yu · Zi Huang · Mahsa Baktashmotlagh |
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Poster
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Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics Sirui Zheng · Lingxiao Wang · Shuang Qiu · Zuyue Fu · Zhuoran Yang · Csaba Szepesvari · Zhaoran Wang |