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Workshop
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Fri 5:15
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Geometric Deep Learning
Fernando Gama
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Invited Talk
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Tue 0:00
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Geometric Deep Learning: the Erlangen Programme of ML
Michael Bronstein
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Poster
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Wed 1:00
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Explainable Deep One-Class Classification
Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller
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Workshop
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Fri 7:00
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Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective
Yan Leng
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Spotlight
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Tue 12:50
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Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
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Poster
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Tue 9:00
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Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
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Poster
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Thu 9:00
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Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Emilio Parisotto · Ruslan Salakhutdinov
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Poster
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Tue 1:00
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Contemplating Real-World Object Classification
Ali Borji
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Workshop
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Fri 6:31
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Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
Yoshua Bengio
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Workshop
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Fri 7:10
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Poster Spotlight "Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure"
Zhijie Deng
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Workshop
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Fri 6:56
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QA: Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
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Workshop
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Fri 10:00
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Keynote 4: Yunhe Wang. Title: AdderNet: Do we really need multiplications in deep learning?
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