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Poster
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Mon 9:00
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A statistical theory of cold posteriors in deep neural networks
Laurence Aitchison
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Poster
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Mon 9:00
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Universal approximation power of deep residual neural networks via nonlinear control theory
Paulo Tabuada · Bahman Gharesifard
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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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Poster
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Thu 9:00
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Deconstructing the Regularization of BatchNorm
Yann Dauphin · Ekin Cubuk
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Poster
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Thu 1:00
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The inductive bias of ReLU networks on orthogonally separable data
Mary Phuong · Christoph H Lampert
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Poster
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Tue 17:00
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Deep Equals Shallow for ReLU Networks in Kernel Regimes
Alberto Bietti · Francis Bach
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Poster
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Tue 1:00
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Scaling the Convex Barrier with Active Sets
Alessandro De Palma · Harkirat Singh Behl · Rudy R Bunel · Philip Torr · M. Pawan Kumar
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Workshop
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Fri 10:30
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Gal Mishne: Visualizing the PHATE of deep neural networks
Gal Mishne
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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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Poster
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Tue 1:00
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AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun · Zhanxing Zhu · Zhouchen Lin
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Poster
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Tue 1:00
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A Block Minifloat Representation for Training Deep Neural Networks
Sean Fox · Seyedramin Rasoulinezhad · Julian Faraone · david boland · Philip Leong
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Poster
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Wed 1:00
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Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas · Yuxuan Zhang · Florian Kerschbaum
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