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Poster
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Thu 17:00
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Neural Pruning via Growing Regularization
Huan Wang · Can Qin · Yulun Zhang · Yun Fu
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Workshop
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Fri 6:00
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Keynote 3: Ehsan Saboori. Title: Deep learning model compression using neural network design space exploration
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Poster
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Wed 1:00
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Deep Learning meets Projective Clustering
Alaa Maalouf · Harry Lang · Daniela Rus · Dan Feldman
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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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Poster
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Tue 9:00
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Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
Thomas Bird · Friso Kingma · David Barber
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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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Wed 17:00
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GANs Can Play Lottery Tickets Too
Xuxi Chen · Zhenyu Zhang · Yongduo Sui · Tianlong Chen
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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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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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