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Poster
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Thu 14:00
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Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse
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Competition
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Tue 3:15
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Towards better benchmarks for AutoML, meta-learning and continual learning in computer vision
Joaquin Vanschoren
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Tutorial
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Mon 2:00
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The Role of Meta-learning for Few-shot Learning
Eleni Triantafillou
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Poster
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Thu 14:00
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GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions
Gene Chou · Ilya Chugunov · Felix Heide
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Workshop
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Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization
Leo Feng · Padideh Nouri · Aneri Muni · Yoshua Bengio · Pierre-Luc Bacon
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Poster
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Thu 9:00
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Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion
Atsutoshi Kumagai · Tomoharu Iwata · Yasutoshi Ida · Yasuhiro Fujiwara
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Workshop
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Instance norm improves meta-learning in class-imbalanced land cover classification
Marc Russwurm · Devis Tuia
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Workshop
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Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
Boris Ivanovic · James Harrison · Marco Pavone
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Poster
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Wed 9:00
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The Curse of Unrolling: Rate of Differentiating Through Optimization
Damien Scieur · Gauthier Gidel · Quentin Bertrand · Fabian Pedregosa
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Poster
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Wed 9:00
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A Closer Look at Prototype Classifier for Few-shot Image Classification
Mingcheng Hou · Issei Sato
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Workshop
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Fri 7:00
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NeurIPS 2022 Workshop on Meta-Learning
Huaxiu Yao · Eleni Triantafillou · Fabio Ferreira · Joaquin Vanschoren · Qi Lei
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Poster
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Wed 9:00
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Meta-Learning Dynamics Forecasting Using Task Inference
Rui Wang · Robin Walters · Rose Yu
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