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Poster
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Wed 1:00
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Explainable Deep One-Class Classification
Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller
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Poster
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Tue 9:00
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SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag · Mung Chiang · Prateek Mittal
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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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Workshop
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Fri 8:29
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Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging
Dennis Núñez-Fernández
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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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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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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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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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Poster
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Tue 1:00
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AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun · Zhanxing Zhu · Zhouchen Lin
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