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Poster
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Thu 9:00
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Meta-Learning Requires Meta-Augmentation
Janarthanan Rajendran · Alexander Irpan · Eric Jang
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Workshop
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Fri 3:11
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Meta-learning neural architectures, initial weights, hyperparameters, and algorithm components
Frank Hutter
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Poster
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Tue 9:00
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Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
KwanYong Park · Sanghyun Woo · Inkyu Shin · In So Kweon
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Poster
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Tue 9:00
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Submodular Meta-Learning
Arman Adibi · Aryan Mokhtari · Hamed Hassani
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Workshop
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Uniform Priors for Meta-Learning
Samarth Sinha
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Workshop
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Meta-Learning via Hypernetworks
Dominic Zhao
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Workshop
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Sat 12:01
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Invited Talk #5 Ishita Dasgupta - Embedding structure in data: Progress and challenges for the meta-learning approach
Ishita Dasgupta
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Poster
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Wed 21:00
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Modeling and Optimization Trade-off in Meta-learning
Katelyn Gao · Ozan Sener
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Workshop
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Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory
Jonas Rothfuss
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Workshop
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How Important is the Train-Validation Split in Meta-Learning?
Yu Bai
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Workshop
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Meta-Learning Initializations for Image Segmentation
Sean Hendryx
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Workshop
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Fri 7:41
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Contributed talk - Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning
Rasmus Berg Palm
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