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Workshop
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks
Peter Bajcsy
Poster
Mon 9:00 Pruning Neural Networks at Initialization: Why Are We Missing the Mark?
Jonathan Frankle · Gintare Dziugaite · Anonymous A Author · Michael Carbin
Poster
Mon 9:00 A statistical theory of cold posteriors in deep neural networks
Laurence Aitchison
Poster
Wed 9:00 Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan · Pedro Savarese · Michael Maire
Oral
Mon 11:30 Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan · Pedro Savarese · Michael Maire
Poster
Mon 9:00 Universal approximation power of deep residual neural networks via nonlinear control theory
Paulo Tabuada · Bahman Gharesifard
Workshop
Fri 7:10 Poster Spotlight "Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure"
Zhijie Deng
Poster
Thu 17:00 Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer · Bhavya Kailkhura
Poster
Thu 9:00 Deconstructing the Regularization of BatchNorm
Yann Dauphin · Ekin Cubuk
Poster
Thu 17:00 Neural Pruning via Growing Regularization
Huan Wang · Can Qin · Yulun Zhang · Yun Fu
Workshop
Fri 10:30 Gal Mishne: Visualizing the PHATE of deep neural networks
Gal Mishne
Workshop
Fri 14:02 Invited Talk: A deep learning theory for neural networks grounded in physics
Benjamin Scellier