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Search All 2021 Events
Results
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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
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