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Workshop
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Baseline Pruning-Based Approach to Trojan Detection in Neural Networks
Peter Bajcsy
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Poster
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Mon 9:00
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Pruning Neural Networks at Initialization: Why Are We Missing the Mark?
Jonathan Frankle · Gintare Dziugaite · Anonymous A Author · Michael Carbin
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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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Wed 9:00
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Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan · Pedro Savarese · Michael Maire
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Oral
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Mon 11:30
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Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan · Pedro Savarese · Michael Maire
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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 17:00
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Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer · Bhavya Kailkhura
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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 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 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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