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10 Program Highlights »
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Oral
Thu Dec 7th 11:10 -- 11:25 AM @ Hall C
Masked Autoregressive Flow for Density Estimation
George Papamakarios · Iain Murray · Theo Pavlakou
Oral
Thu Dec 7th 11:25 -- 11:40 AM @ Hall C
Deep Sets
Manzil Zaheer · Satwik Kottur · Siamak Ravanbakhsh · Barnabas Poczos · Ruslan Salakhutdinov · Alexander Smola
Oral
Thu Dec 7th 11:40 -- 11:55 AM @ Hall C
From Bayesian Sparsity to Gated Recurrent Nets
Hao He · Bo Xin · Satoshi Ikehata · David Wipf
Spotlight
Thu Dec 7th 11:55 AM -- 12:00 PM @ Hall C
Self-Normalizing Neural Networks
Günter Klambauer · Thomas Unterthiner · Andreas Mayr · Sepp Hochreiter
Spotlight
Thu Dec 7th 12:00 -- 12:05 PM @ Hall C
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
Spotlight
Thu Dec 7th 12:05 -- 12:10 PM @ Hall C
Nonlinear random matrix theory for deep learning
Jeffrey Pennington · Pratik Worah
Spotlight
Thu Dec 7th 12:10 -- 12:15 PM @ Hall C
Spherical convolutions and their application in molecular modelling
Wouter Boomsma · Jes Frellsen
Spotlight
Thu Dec 7th 12:15 -- 12:20 PM @ Hall C
Translation Synchronization via Truncated Least Squares
Xiangru Huang · Zhenxiao Liang · Chandrajit Bajaj · Qixing Huang
Spotlight
Thu Dec 7th 12:20 -- 12:25 PM @ Hall C
Self-supervised Learning of Motion Capture
Hsiao-Yu Tung · Hsiao-Wei Tung · Ersin Yumer · Katerina Fragkiadaki
Spotlight
Thu Dec 7th 12:25 -- 12:30 PM @ Hall C
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
Jinseok Nam · Eneldo Loza Mencía · Hyunwoo J Kim · Johannes Fürnkranz