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269 Results
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Poster
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Tue 14:00 |
Set-based Meta-Interpolation for Few-Task Meta-Learning Seanie Lee · Bruno Andreis · Kenji Kawaguchi · Juho Lee · Sung Ju Hwang |
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Poster
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Thu 14:00 |
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification Ihsan Ullah · Dustin Carrión-Ojeda · Sergio Escalera · Isabelle Guyon · Mike Huisman · Felix Mohr · Jan N. van Rijn · Haozhe Sun · Joaquin Vanschoren · Phan Anh Vu |
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Poster
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Thu 9:00 |
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts Tao Zhong · Zhixiang Chi · Li Gu · Yang Wang · Yuanhao Yu · Jin Tang |
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Poster
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Thu 14:00 |
A contrastive rule for meta-learning Nicolas Zucchet · Simon Schug · Johannes von Oswald · Dominic Zhao · João Sacramento |
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Workshop
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Meta-Learning General-Purpose Learning Algorithms with Transformers Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein |
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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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Tue 9:00 |
Giving Feedback on Interactive Student Programs with Meta-Exploration Evan Liu · Moritz Stephan · Allen Nie · Chris Piech · Emma Brunskill · Chelsea Finn |
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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 14:00 |
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning Mandi Zhao · Pieter Abbeel · Stephen James |
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Poster
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Thu 14:00 |
Using natural language and program abstractions to instill human inductive biases in machines Sreejan Kumar · Carlos G. Correa · Ishita Dasgupta · Raja Marjieh · Michael Y Hu · Robert Hawkins · Jonathan D Cohen · nathaniel daw · Karthik Narasimhan · Tom Griffiths |
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Tutorial
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Mon 2:00 |
The Role of Meta-learning for Few-shot Learning Eleni Triantafillou |
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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 |