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Poster
Thu 7:45 Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization
Bruno Korbar · Du Tran · Lorenzo Torresani
Poster
Wed 7:45 Inferring Networks From Random Walk-Based Node Similarities
Jeremy Hoskins · Cameron Musco · Christopher Musco · Charalampos Tsourakakis
Poster
Wed 7:45 Sketching Method for Large Scale Combinatorial Inference
Wei Sun · Junwei Lu · Han Liu
Poster
Tue 7:45 Reversible Recurrent Neural Networks
Matthew MacKay · Paul Vicol · Jimmy Ba · Roger Grosse
Poster
Wed 7:45 Critical initialisation for deep signal propagation in noisy rectifier neural networks
Arnu Pretorius · Elan van Biljon · Steve Kroon · Herman Kamper
Poster
Tue 7:45 Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor · Zhen Lin · Shubhendu Trivedi
Poster
Tue 7:45 Mesh-TensorFlow: Deep Learning for Supercomputers
Noam Shazeer · Youlong Cheng · Niki Parmar · Dustin Tran · Ashish Vaswani · Penporn Koanantakool · Peter Hawkins · HyoukJoong Lee · Mingsheng Hong · Cliff Young · Ryan Sepassi · Blake Hechtman
Poster
Thu 14:00 Bayesian Structure Learning by Recursive Bootstrap
Raanan Y. Rohekar · Yaniv Gurwicz · Shami Nisimov · Guy Koren · Gal Novik
Poster
Thu 14:00 Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
Tomoya Murata · Taiji Suzuki
Poster
Thu 7:45 Graphical model inference: Sequential Monte Carlo meets deterministic approximations
Fredrik Lindsten · Jouni Helske · Matti Vihola
Poster
Tue 7:45 Exact natural gradient in deep linear networks and its application to the nonlinear case
Alberto Bernacchia · Mate Lengyel · Guillaume Hennequin
Poster
Wed 7:45 Sparsified SGD with Memory
Sebastian Stich · Jean-Baptiste Cordonnier · Martin Jaggi