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Poster
Mon 9:00 A statistical theory of cold posteriors in deep neural networks
Laurence Aitchison
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 9:00 Deconstructing the Regularization of BatchNorm
Yann Dauphin · Ekin Cubuk
Workshop
Fri 14:02 Invited Talk: A deep learning theory for neural networks grounded in physics
Benjamin Scellier
Workshop
Fri 10:30 Gal Mishne: Visualizing the PHATE of deep neural networks
Gal Mishne
Poster
Tue 1:00 Scaling the Convex Barrier with Active Sets
Alessandro De Palma · Harkirat Singh Behl · Rudy R Bunel · Philip Torr · M. Pawan Kumar
Poster
Tue 1:00 AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun · Zhanxing Zhu · Zhouchen Lin
Poster
Tue 1:00 A Block Minifloat Representation for Training Deep Neural Networks
Sean Fox · Seyedramin Rasoulinezhad · Julian Faraone · david boland · Philip Leong
Workshop
Fri 8:29 Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging
Dennis Núñez-Fernández
Poster
Tue 9:00 Characterizing signal propagation to close the performance gap in unnormalized ResNets
Andrew Brock · Soham De · Samuel Smith
Poster
Thu 17:00 Neural Pruning via Growing Regularization
Huan Wang · Can Qin · Yulun Zhang · Yun Fu