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60 Results
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Poster
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Mon 10:30 |
Fast Model Editing at Scale Eric Mitchell · Charles Lin · Antoine Bosselut · Chelsea Finn · Christopher Manning |
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Spotlight
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Wed 18:30 |
Online Hyperparameter Meta-Learning with Hypergradient Distillation Hae Beom Lee · Hayeon Lee · JaeWoong Shin · Eunho Yang · Timothy Hospedales · Sung Ju Hwang |
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Poster
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Wed 18:30 |
Online Hyperparameter Meta-Learning with Hypergradient Distillation Hae Beom Lee · Hayeon Lee · JaeWoong Shin · Eunho Yang · Timothy Hospedales · Sung Ju Hwang |
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Poster
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Wed 2:30 |
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye · Wei-Lun Chao |
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Workshop
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Continual Learning with Deep Artificial Neurons Blake Camp · Jaya Krishna Mandivarapu · Rolando Estrada |
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Poster
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Mon 2:30 |
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek |
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Poster
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Mon 18:30 |
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities Jianda Chen · Sinno Pan |
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Poster
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Wed 18:30 |
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty Jeff Willette · Hae Beom Lee · Juho Lee · Sung Ju Hwang |
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Spotlight
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Mon 10:30 |
Continuous-Time Meta-Learning with Forward Mode Differentiation Tristan Deleu · David Kanaa · Leo Feng · Giancarlo Kerg · Yoshua Bengio · Guillaume Lajoie · Pierre-Luc Bacon |
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Poster
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Thu 2:30 |
Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate Yingtian Zou · Fusheng Liu · Qianxiao Li |
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Poster
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Mon 10:30 |
Continuous-Time Meta-Learning with Forward Mode Differentiation Tristan Deleu · David Kanaa · Leo Feng · Giancarlo Kerg · Yoshua Bengio · Guillaume Lajoie · Pierre-Luc Bacon |
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Poster
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Tue 18:30 |
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative Lucio Dery · Paul Michel · Ameet Talwalkar · Graham Neubig |