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Poster
Wed 9:00 How to train your MAML
Antreas Antoniou · Harrison Edwards · Amos Storkey
Workshop
Mon 11:00 NeuralVerification.jl: Algorithms for Verifying Deep Neural Networks
Tomer Arnon · Christopher Lazarus
Poster
Thu 14:30 Deep, Skinny Neural Networks are not Universal Approximators
Jesse Johnson
Poster
Tue 9:00 Diffusion Scattering Transforms on Graphs
Fernando Gama · Alejandro Ribeiro · Joan Bruna
Poster
Tue 9:00 Unsupervised Adversarial Image Reconstruction
Arthur Pajot · Emmanuel de Bézenac · patrick Gallinari
Poster
Wed 14:30 Aggregated Momentum: Stability Through Passive Damping
James Lucas · Shengyang Sun · Richard Zemel · Roger Grosse
Poster
Tue 9:00 ADef: an Iterative Algorithm to Construct Adversarial Deformations
Rima Alaifari · Giovanni S Alberti · Tandri Gauksson
Poster
Wed 14:30 Deep Frank-Wolfe For Neural Network Optimization
Leonard Berrada · Andrew Zisserman · M. Pawan Kumar
Poster
Tue 9:00 A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
Jack Lindsey · Samuel Ocko · Surya Ganguli · Stephane Deny
Poster
Thu 9:00 Learning Recurrent Binary/Ternary Weights
Arash Ardakani · Zhengyun Ji · Sean Smithson · Brett Meyer · Warren Gross
Poster
Wed 9:00 A comprehensive, application-oriented study of catastrophic forgetting in DNNs
Benedikt Pfülb · Alexander RT Gepperth
Poster
Wed 9:00 Neural Graph Evolution: Automatic Robot Design
Tingwu Wang · Yuhao Zhou · Sanja Fidler · Jimmy Ba