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Poster
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Wed 1:00
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Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Veniat · Ludovic Denoyer · Marc'Aurelio Ranzato
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Poster
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Wed 17:00
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A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
Renjie Liao · Raquel Urtasun · Richard Zemel
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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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Poster
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Tue 1:00
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Computational Separation Between Convolutional and Fully-Connected Networks
Eran Malach · Shai Shalev-Shwartz
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Poster
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Mon 9:00
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Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
Arda Sahiner · Tolga Ergen · John M Pauly · Mert Pilanci
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Poster
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Thu 1:00
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Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
Justin Bayer · Maximilian Soelch · Atanas Mirchev · Baris Kayalibay · Patrick van der Smagt
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