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Poster
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Thu 17:00
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Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
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Spotlight
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Thu 21:28
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Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
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Poster
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Tue 17:00
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How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu · Mozhi Zhang · Jingling Li · Simon Du · Ken-Ichi Kawarabayashi · Stefanie Jegelka
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Oral
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Mon 21:21
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How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu · Mozhi Zhang · Jingling Li · Simon Du · Ken-Ichi Kawarabayashi · Stefanie Jegelka
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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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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 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 10:00
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Keynote 4: Yunhe Wang. Title: AdderNet: Do we really need multiplications in deep learning?
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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 14:02
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Invited Talk: A deep learning theory for neural networks grounded in physics
Benjamin Scellier
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Workshop
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On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Marc Vischer · Henning Sprekeler · Robert Lange
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Poster
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Mon 17:00
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Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai · Weiran Wang · Yingbo Zhou · Caiming Xiong
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