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Oral
Thu Dec 07 11:10 AM -- 11:25 AM (PST) @ Hall C
Masked Autoregressive Flow for Density Estimation
In Deep Learning, Algorithms
George Papamakarios · Iain Murray · Theo Pavlakou
Oral
Thu Dec 07 11:25 AM -- 11:40 AM (PST) @ Hall C
Deep Sets
In Deep Learning, Algorithms
Manzil Zaheer · Satwik Kottur · Siamak Ravanbakhsh · Barnabas Poczos · Ruslan Salakhutdinov · Alexander Smola
Oral
Thu Dec 07 11:40 AM -- 11:55 AM (PST) @ Hall C
From Bayesian Sparsity to Gated Recurrent Nets
In Deep Learning, Algorithms
Hao He · Bo Xin · Satoshi Ikehata · David Wipf
Spotlight
Thu Dec 07 11:55 AM -- 12:00 PM (PST) @ Hall C
Self-Normalizing Neural Networks
In Deep Learning, Algorithms
Günter Klambauer · Thomas Unterthiner · Andreas Mayr · Sepp Hochreiter
Spotlight
Thu Dec 07 12:00 PM -- 12:05 PM (PST) @ Hall C
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
In Deep Learning, Algorithms
Sergey Ioffe
Spotlight
Thu Dec 07 12:05 PM -- 12:10 PM (PST) @ Hall C
Nonlinear random matrix theory for deep learning
In Deep Learning, Algorithms
Jeffrey Pennington · Pratik Worah
Spotlight
Thu Dec 07 12:10 PM -- 12:15 PM (PST) @ Hall C
Spherical convolutions and their application in molecular modelling
In Deep Learning, Algorithms
Wouter Boomsma · Jes Frellsen
Spotlight
Thu Dec 07 12:15 PM -- 12:20 PM (PST) @ Hall C
Translation Synchronization via Truncated Least Squares
In Deep Learning, Algorithms
Xiangru Huang · Zhenxiao Liang · Chandrajit Bajaj · Qixing Huang
Spotlight
Thu Dec 07 12:20 PM -- 12:25 PM (PST) @ Hall C
Self-supervised Learning of Motion Capture
In Deep Learning, Algorithms
Hsiao-Yu Tung · Hsiao-Wei Tung · Ersin Yumer · Katerina Fragkiadaki
Spotlight
Thu Dec 07 12:25 PM -- 12:30 PM (PST) @ Hall C
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
In Deep Learning, Algorithms
Jinseok Nam · Eneldo Loza Mencía · Hyunwoo J Kim · Johannes Fürnkranz