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45 Results
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Poster
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Decision S4: Efficient Sequence-Based RL via State Spaces Layers Shmuel Bar David · Itamar Zimerman · Eliya Nachmani · Lior Wolf |
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Poster
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Tue 2:30 |
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang · Tianjun Zhang · Michael Janner · Yueying Li · Tim Rocktaeschel · Edward Grefenstette · Yuandong Tian |
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Poster
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Provably Efficient Lifelong Reinforcement Learning with Linear Representation Sanae Amani · Lin Yang · Ching-An Cheng |
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Poster
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Tue 7:30 |
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks Noam Wies · Yoav Levine · Amnon Shashua |
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Poster
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Wed 7:30 |
What learning algorithm is in-context learning? Investigations with linear models Ekin Akyürek · Dale Schuurmans · Jacob Andreas · Tengyu Ma · Denny Zhou |
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Oral
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Wed 6:10 |
What learning algorithm is in-context learning? Investigations with linear models Ekin Akyürek · Dale Schuurmans · Jacob Andreas · Tengyu Ma · Denny Zhou |
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Workshop
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Thu 4:00 |
Simple Hardware-Efficient Long Convolutions for Sequence Modeling Dan Fu · Elliot Epstein · Eric Nguyen · Armin Thomas · Michael Zhang · Tri Dao · Atri Rudra · Christopher Re |
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Workshop
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Thu 4:00 |
Towards Foundation Models with Mathematical Understanding Peter Belcak · Roger Wattenhofer |
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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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Mon 2:30 |
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models Shansan Gong · Mukai Li · Jiangtao Feng · Zhiyong Wu · Lingpeng Kong |
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Workshop
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Thu 6:30 |
Invited Talk by Sergey Levine: Leveraging Offline Datasets / Foundation Models for Real-World RL Sergey Levine |
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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 |