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916 Results
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Workshop
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Fri 5:40 |
Adaptive Experimental Design and Active Learning in the Real World Mojmir Mutny · Willie Neiswanger · Ilija Bogunovic · Stefano Ermon · Yisong Yue · Andreas Krause |
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Poster
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Tue 15:30 |
The Teaching Dimension of Regularized Kernel Learners Hong Qian · Xu-Hui Liu · Chen-Xi Su · Aimin Zhou · Yang Yu |
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Spotlight
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Tue 13:40 |
The Teaching Dimension of Regularized Kernel Learners Hong Qian · Xu-Hui Liu · Chen-Xi Su · Aimin Zhou · Yang Yu |
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Spotlight
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Tue 11:45 |
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation Sebastian Ament · Carla Gomes |
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Poster
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Wed 15:30 |
History Compression via Language Models in Reinforcement Learning Fabian Paischer · Thomas Adler · Vihang Patil · Angela Bitto-Nemling · Markus Holzleitner · Sebastian Lehner · Hamid Eghbal-zadeh · Sepp Hochreiter |
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Spotlight
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Wed 8:00 |
History Compression via Language Models in Reinforcement Learning Fabian Paischer · Thomas Adler · Vihang Patil · Angela Bitto-Nemling · Markus Holzleitner · Sebastian Lehner · Hamid Eghbal-zadeh · Sepp Hochreiter |
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Poster
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Tue 15:30 |
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation Sebastian Ament · Carla Gomes |
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Poster
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Wed 15:30 |
Cross-Space Active Learning on Graph Convolutional Networks Yufei Tao · Hao WU · Shiyuan Deng |
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Spotlight
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Wed 11:40 |
Cross-Space Active Learning on Graph Convolutional Networks Yufei Tao · Hao WU · Shiyuan Deng |
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Spotlight
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Wed 14:55 |
Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation Sebastian Lee · Stefano Sarao Mannelli · Claudia Clopath · Sebastian Goldt · Andrew Saxe |
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Poster
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Wed 15:30 |
Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation Sebastian Lee · Stefano Sarao Mannelli · Claudia Clopath · Sebastian Goldt · Andrew Saxe |
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Poster
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Tue 15:30 |
Bayesian Optimization for Distributionally Robust Chance-constrained Problem Yu Inatsu · Shion Takeno · Masayuki Karasuyama · Ichiro Takeuchi |