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2616 Results
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Poster
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Wed 14:00 |
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks Daiki Chijiwa · Shin'ya Yamaguchi · Atsutoshi Kumagai · Yasutoshi Ida |
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Poster
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Thu 9:00 |
A Universal Error Measure for Input Predictions Applied to Online Graph Problems Giulia Bernardini · Alexander Lindermayr · Alberto Marchetti-Spaccamela · Nicole Megow · Leen Stougie · Michelle Sweering |
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Poster
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Mildly Conservative Q-Learning for Offline Reinforcement Learning Jiafei Lyu · Xiaoteng Ma · Xiu Li · Zongqing Lu |
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Poster
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Conditional Meta-Learning of Linear Representations Giulia Denevi · Massimiliano Pontil · Carlo Ciliberto |
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Poster
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Thu 9:00 |
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning HYUNWOOK KANG · Taehwan Kwon · Jinkyoo Park · James R. Morrison |
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Poster
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Wed 14:00 |
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations Xiang Huang · Zhanhong Ye · Hongsheng Liu · Shi Ji · Zidong Wang · Kang Yang · Yang Li · Min Wang · Haotian CHU · Fan Yu · Bei Hua · Lei Chen · Bin Dong |
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Poster
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Thu 9:00 |
Rapid Model Architecture Adaption for Meta-Learning Yiren Zhao · Xitong Gao · I Shumailov · Nicolo Fusi · Robert Mullins |
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Poster
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Wed 14:00 |
Learning-Augmented Algorithms for Online Linear and Semidefinite Programming Elena Grigorescu · Young-San Lin · Sandeep Silwal · Maoyuan Song · Samson Zhou |
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Poster
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Wed 9:00 |
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison · Luke Metz · Jascha Sohl-Dickstein |
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Competition
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Tue 3:15 |
Towards better benchmarks for AutoML, meta-learning and continual learning in computer vision Joaquin Vanschoren |
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Poster
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Thu 14:00 |
Adversarial Task Up-sampling for Meta-learning Yichen WU · Long-Kai Huang · Ying Wei |
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Poster
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Wed 14:00 |
Sharing Knowledge for Meta-learning with Feature Descriptions Tomoharu Iwata · Atsutoshi Kumagai |