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14 Program Highlights »
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Spotlight
Thu Dec 6th 03:30 -- 03:35 PM @ Room 220 E
Hyperbolic Neural Networks
Octavian Ganea · Gary Becigneul · Thomas Hofmann
Spotlight
Thu Dec 6th 03:35 -- 03:40 PM @ Room 220 E
Norm matters: efficient and accurate normalization schemes in deep networks
Elad Hoffer · Ron Banner · Itay Golan · Daniel Soudry
Spotlight
Thu Dec 6th 03:40 -- 03:45 PM @ Room 220 E
Constructing Fast Network through Deconstruction of Convolution
Yunho Jeon · Junmo Kim
Spotlight
Thu Dec 6th 03:45 -- 03:50 PM @ Room 220 E
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee · Kibok Lee · Honglak Lee · Jinwoo Shin
Oral
Thu Dec 6th 03:50 -- 04:05 PM @ Room 220 E
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
Supasorn Suwajanakorn · Noah Snavely · Jonathan Tompson · Mohammad Norouzi
Spotlight
Thu Dec 6th 04:05 -- 04:10 PM @ Room 220 E
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
Kevin Ellis · Lucas Morales · Mathias Sablé-Meyer · Armando Solar-Lezama · Josh Tenenbaum
Spotlight
Thu Dec 6th 04:10 -- 04:15 PM @ Room 220 E
Learning Loop Invariants for Program Verification
Xujie Si · Hanjun Dai · Mukund Raghothaman · Mayur Naik · Le Song
Spotlight
Thu Dec 6th 04:15 -- 04:20 PM @ Room 220 E
DeepProbLog: Neural Probabilistic Logic Programming
Robin Manhaeve · Sebastijan Dumancic · Angelika Kimmig · Thomas Demeester · Luc De Raedt
Spotlight
Thu Dec 6th 04:20 -- 04:25 PM @ Room 220 E
Learning to Infer Graphics Programs from Hand-Drawn Images
Kevin Ellis · Daniel Ritchie · Armando Solar-Lezama · Josh Tenenbaum
Oral
Thu Dec 6th 04:25 -- 04:40 PM @ Room 220 E
Learning to Reconstruct Shapes from Unseen Classes
Xiuming Zhang · Zhoutong Zhang · Chengkai Zhang · Josh Tenenbaum · Bill Freeman · Jiajun Wu
Spotlight
Thu Dec 6th 04:40 -- 04:45 PM @ Room 220 E
Improving Neural Program Synthesis with Inferred Execution Traces
Richard Shin · Illia Polosukhin · Dawn Song
Spotlight
Thu Dec 6th 04:45 -- 04:50 PM @ Room 220 E
ResNet with one-neuron hidden layers is a Universal Approximator
Hongzhou Lin · Stefanie Jegelka
Spotlight
Thu Dec 6th 04:50 -- 04:55 PM @ Room 220 E
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
Liwei Wang · Lunjia Hu · Jiayuan Gu · Zhiqiang Hu · Yue Wu · Kun He · John Hopcroft
Spotlight
Thu Dec 6th 04:55 -- 05:00 PM @ Room 220 E
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang · Mert Sabuncu