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Spotlight
Tue Dec 05 11:25 AM -- 11:30 AM (PST) @ Hall A
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
In Algorithms
Antti Tarvainen · Harri Valpola
Spotlight
Tue Dec 05 11:25 AM -- 11:30 AM (PST) @ Hall C
Gradient Descent Can Take Exponential Time to Escape Saddle Points
In Optimization
Simon Du · Chi Jin · Jason D Lee · Michael Jordan · Aarti Singh · Barnabas Poczos
Spotlight
Tue Dec 05 11:30 AM -- 11:35 AM (PST) @ Hall A
Communication-Efficient Stochastic Gradient Descent, with Applications to Neural Networks
In Algorithms
Dan Alistarh · Demjan Grubic · Jerry Li · Ryota Tomioka · Milan Vojnovic
Spotlight
Tue Dec 05 11:30 AM -- 11:35 AM (PST) @ Hall C
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
In Optimization
Jason Altschuler · Jonathan Niles-Weed · Philippe Rigollet
Spotlight
Tue Dec 05 11:35 AM -- 11:40 AM (PST) @ Hall A
Inhomogoenous Hypergraph Clustering with Applications
In Algorithms
Pan Li · Olgica Milenkovic
Spotlight
Tue Dec 05 11:35 AM -- 11:40 AM (PST) @ Hall C
Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization
In Optimization
Yossi Arjevani
Spotlight
Tue Dec 05 11:40 AM -- 11:45 AM (PST) @ Hall A
K-Medoids For K-Means Seeding
In Algorithms
James Newling · François Fleuret
Spotlight
Tue Dec 05 11:40 AM -- 11:45 AM (PST) @ Hall C
Implicit Regularization in Matrix Factorization
In Optimization
Suriya Gunasekar · Blake Woodworth · Srinadh Bhojanapalli · Behnam Neyshabur · Nati Srebro
Spotlight
Tue Dec 05 11:45 AM -- 11:50 AM (PST) @ Hall A
Online Learning with Transductive Regret
In Algorithms
Scott Yang · Mehryar Mohri
Spotlight
Tue Dec 05 11:45 AM -- 11:50 AM (PST) @ Hall C
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
In Optimization
Zeyuan Allen-Zhu · Elad Hazan · Wei Hu · Yuanzhi Li
Spotlight
Tue Dec 05 11:50 AM -- 11:55 AM (PST) @ Hall A
Matrix Norm Estimation from a Few Entries
In Algorithms
Ashish Khetan · Sewoong Oh
Spotlight
Tue Dec 05 11:50 AM -- 11:55 AM (PST) @ Hall C
Acceleration and Averaging in Stochastic Descent Dynamics
In Optimization
Walid Krichene · Peter Bartlett
Spotlight
Tue Dec 05 11:55 AM -- 12:00 PM (PST) @ Hall A
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
In Algorithms
Arya Mazumdar · Soumyabrata Pal
Spotlight
Tue Dec 05 11:55 AM -- 12:00 PM (PST) @ Hall C
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
In Optimization
Mert Gurbuzbalaban · Asuman Ozdaglar · Pablo A Parrilo · Nuri Vanli
Spotlight
Tue Dec 05 03:20 PM -- 03:25 PM (PST) @ Hall A
Differentiable Learning of Submodular Functions
In Algorithms, Optimization
Josip Djolonga · Andreas Krause
Spotlight
Tue Dec 05 03:20 PM -- 03:25 PM (PST) @ Hall C
Information-theoretic analysis of generalization capability of learning algorithms
In Theory
Aolin Xu · Maxim Raginsky
Spotlight
Tue Dec 05 03:25 PM -- 03:30 PM (PST) @ Hall A
Generalized Linear Model Regression under Distance-to-set Penalties
In Algorithms, Optimization
Jason Xu · Eric Chi · Kenneth Lange
Spotlight
Tue Dec 05 03:25 PM -- 03:30 PM (PST) @ Hall C
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
In Theory
Alireza Aghasi · Afshin Abdi · Nam Nguyen · Justin Romberg
Spotlight
Tue Dec 05 03:30 PM -- 03:35 PM (PST) @ Hall A
Decomposable Submodular Function Minimization: Discrete and Continuous
In Algorithms, Optimization
Alina Ene · Huy Nguyen · László A. Végh
Spotlight
Tue Dec 05 03:30 PM -- 03:35 PM (PST) @ Hall C
Clustering Billions of Reads for DNA Data Storage
In Theory
Cyrus Rashtchian · Konstantin Makarychev · Miklos Racz · Siena Ang · Djordje Jevdjic · Sergey Yekhanin · Luis Ceze · Karin Strauss
Spotlight
Tue Dec 05 03:35 PM -- 03:40 PM (PST) @ Hall A
Unbiased estimates for linear regression via volume sampling
In Algorithms, Optimization
Michal Derezinski · Manfred K. Warmuth
Spotlight
Tue Dec 05 03:35 PM -- 03:40 PM (PST) @ Hall C
On the Complexity of Learning Neural Networks
In Theory
Le Song · Santosh Vempala · John Wilmes · Bo Xie
Spotlight
Tue Dec 05 03:40 PM -- 03:45 PM (PST) @ Hall A
On Frank-Wolfe and Equilibrium Computation
In Algorithms, Optimization
Jacob D Abernethy · Jun-Kun Wang
Spotlight
Tue Dec 05 03:40 PM -- 03:45 PM (PST) @ Hall C
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos
In Theory
Gerasimos Palaiopanos · Ioannis Panageas · Georgios Piliouras
Spotlight
Tue Dec 05 03:45 PM -- 03:50 PM (PST) @ Hall A
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
In Algorithms, Optimization
Adarsh Prasad · Alexandru Niculescu-Mizil · Pradeep Ravikumar
Spotlight
Tue Dec 05 03:45 PM -- 03:50 PM (PST) @ Hall C
Estimating Mutual Information for Discrete-Continuous Mixtures
In Theory
Weihao Gao · Sreeram Kannan · Sewoong Oh · Pramod Viswanath
Spotlight
Tue Dec 05 05:05 PM -- 05:10 PM (PST) @ Hall A
Towards Accurate Binary Convolutional Neural Network
In Deep Learning, Applications
Xiaofan Lin · Cong Zhao · Wei Pan
Spotlight
Tue Dec 05 05:05 PM -- 05:10 PM (PST) @ Hall C
Posterior sampling for reinforcement learning: worst-case regret bounds
In Algorithms
Shipra Agrawal · Randy Jia
Spotlight
Tue Dec 05 05:10 PM -- 05:15 PM (PST) @ Hall A
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
In Deep Learning, Applications
Xingjian Shi · Zhihan Gao · Leonard Lausen · Hao Wang · Dit-Yan Yeung · Wai-kin Wong · Wang-chun WOO
Spotlight
Tue Dec 05 05:10 PM -- 05:15 PM (PST) @ Hall C
Regret Analysis for Continuous Dueling Bandit
In Algorithms
Wataru Kumagai
Spotlight
Tue Dec 05 05:15 PM -- 05:20 PM (PST) @ Hall A
Poincaré Embeddings for Learning Hierarchical Representations
In Deep Learning, Applications
Maximilian Nickel · Douwe Kiela
Spotlight
Tue Dec 05 05:15 PM -- 05:20 PM (PST) @ Hall C
Minimal Exploration in Structured Stochastic Bandits
In Algorithms
Richard Combes · Stefan Magureanu · Alexandre Proutiere
Spotlight
Tue Dec 05 05:20 PM -- 05:25 PM (PST) @ Hall A
Deep Hyperspherical Learning
In Deep Learning, Applications
Weiyang Liu · Yan-Ming Zhang · Xingguo Li · Zhiding Yu · Bo Dai · Tuo Zhao · Le Song
Spotlight
Tue Dec 05 05:20 PM -- 05:25 PM (PST) @ Hall C
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
In Algorithms
Quentin Berthet · Vianney Perchet
Spotlight
Tue Dec 05 05:25 PM -- 05:30 PM (PST) @ Hall A
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
In Deep Learning, Applications
Alex Kendall · Yarin Gal
Spotlight
Tue Dec 05 05:25 PM -- 05:30 PM (PST) @ Hall C
Diving into the shallows: a computational perspective on large-scale shallow learning
In Algorithms
SIYUAN MA · Mikhail Belkin
Spotlight
Tue Dec 05 05:30 PM -- 05:35 PM (PST) @ Hall A
One-Sided Unsupervised Domain Mapping
In Deep Learning, Applications
Sagie Benaim · Lior Wolf
Spotlight
Tue Dec 05 05:30 PM -- 05:35 PM (PST) @ Hall C
Monte-Carlo Tree Search by Best Arm Identification
In Algorithms
Emilie Kaufmann · Wouter Koolen
Spotlight
Tue Dec 05 05:35 PM -- 05:40 PM (PST) @ Hall A
Deep Mean-Shift Priors for Image Restoration
In Deep Learning, Applications
Siavash Arjomand Bigdeli · Matthias Zwicker · Paolo Favaro · Meiguang Jin
Spotlight
Tue Dec 05 05:35 PM -- 05:40 PM (PST) @ Hall C
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control
In Algorithms
Fanny Yang · Aaditya Ramdas · Kevin Jamieson · Martin Wainwright
Spotlight
Tue Dec 05 05:40 PM -- 05:45 PM (PST) @ Hall A
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
In Deep Learning, Applications
Andrew Gibiansky · Sercan Arik · Gregory Diamos · John Miller · Kainan Peng · Wei Ping · Jonathan Raiman · Yanqi Zhou
Spotlight
Tue Dec 05 05:40 PM -- 05:45 PM (PST) @ Hall C
Parameter-Free Online Learning via Model Selection
In Algorithms
Dylan J Foster · Satyen Kale · Mehryar Mohri · Karthik Sridharan
Spotlight
Tue Dec 05 05:45 PM -- 05:50 PM (PST) @ Hall A
Graph Matching via Multiplicative Update Algorithm
In Deep Learning, Applications
Bo Jiang · Jin Tang · Chris Ding · Yihong Gong · Bin Luo
Spotlight
Tue Dec 05 05:45 PM -- 05:50 PM (PST) @ Hall C
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
In Algorithms
Zhan Shi · Xinhua Zhang · Yaoliang Yu
Spotlight
Tue Dec 05 05:50 PM -- 05:55 PM (PST) @ Hall A
Dynamic Routing Between Capsules
In Deep Learning, Applications
Sara Sabour · Nicholas Frosst · Geoffrey E Hinton
Spotlight
Tue Dec 05 05:50 PM -- 05:55 PM (PST) @ Hall C
Gaussian Quadrature for Kernel Features
In Algorithms
Tri Dao · Christopher M De Sa · Christopher Ré
Spotlight
Tue Dec 05 05:55 PM -- 06:00 PM (PST) @ Hall A
Modulating early visual processing by language
In Deep Learning, Applications
Harm de Vries · Florian Strub · Jeremie Mary · Hugo Larochelle · Olivier Pietquin · Aaron Courville
Spotlight
Tue Dec 05 05:55 PM -- 06:00 PM (PST) @ Hall C
Online Learning of Linear Dynamical Systems
In Algorithms
Elad Hazan · Karan Singh · Cyril Zhang
Spotlight
Wed Dec 06 11:20 AM -- 11:25 AM (PST) @ Hall A
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
In Theory, Probabilistic Methods
Noga Alon · Moshe Babaioff · Yannai A. Gonczarowski · Yishay Mansour · Shay Moran · Amir Yehudayoff
Spotlight
Wed Dec 06 11:20 AM -- 11:25 AM (PST) @ Hall C
f-GANs in an Information Geometric Nutshell
In Deep Learning
Richard Nock · Zac Cranko · Aditya K Menon · Lizhen Qu · Robert Williamson
Spotlight
Wed Dec 06 11:25 AM -- 11:30 AM (PST) @ Hall A
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
In Theory, Probabilistic Methods
Jeffrey Regier · Michael Jordan · Jon McAuliffe
Spotlight
Wed Dec 06 11:25 AM -- 11:30 AM (PST) @ Hall C
Unsupervised Image-to-Image Translation Networks
In Deep Learning
Ming-Yu Liu · Thomas Breuel · Jan Kautz
Spotlight
Wed Dec 06 11:30 AM -- 11:35 AM (PST) @ Hall A
A Universal Analysis of Large-Scale Regularized Least Squares Solutions
In Theory, Probabilistic Methods
Ashkan Panahi · Babak Hassibi
Spotlight
Wed Dec 06 11:30 AM -- 11:35 AM (PST) @ Hall C
The Numerics of GANs
In Deep Learning
Lars Mescheder · Sebastian Nowozin · Andreas Geiger
Spotlight
Wed Dec 06 11:35 AM -- 11:40 AM (PST) @ Hall A
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
In Theory, Probabilistic Methods
Marco Fraccaro · Simon Kamronn · Ulrich Paquet · Ole Winther
Spotlight
Wed Dec 06 11:35 AM -- 11:40 AM (PST) @ Hall C
Dual Discriminator Generative Adversarial Nets
In Deep Learning
Tu Nguyen · Trung Le · Hung Vu · Dinh Phung
Spotlight
Wed Dec 06 11:40 AM -- 11:45 AM (PST) @ Hall A
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
In Theory, Probabilistic Methods
Chaobing Song · Shaobo Cui · Yong Jiang · Shu-Tao Xia
Spotlight
Wed Dec 06 11:40 AM -- 11:45 AM (PST) @ Hall C
Bayesian GANs
In Deep Learning
Yunus Saatci · Andrew Wilson
Spotlight
Wed Dec 06 11:45 AM -- 11:50 AM (PST) @ Hall A
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
In Theory, Probabilistic Methods
Yuting Wei · Fanny Yang · Martin Wainwright
Spotlight
Wed Dec 06 11:45 AM -- 11:50 AM (PST) @ Hall C
Approximation and Convergence Properties of Generative Adversarial Learning
In Deep Learning
Shuang Liu · Olivier Bousquet · Kamalika Chaudhuri
Spotlight
Wed Dec 06 11:50 AM -- 11:55 AM (PST) @ Hall A
Spectrally-normalized margin bounds for neural networks
In Theory, Probabilistic Methods
Peter Bartlett · Dylan J Foster · Matus Telgarsky
Spotlight
Wed Dec 06 11:50 AM -- 11:55 AM (PST) @ Hall C
Dualing GANs
In Deep Learning
Yujia Li · Alex Schwing · Kuan-Chieh Wang · Richard Zemel
Spotlight
Wed Dec 06 11:55 AM -- 12:00 PM (PST) @ Hall A
The Scaling Limit of High-Dimensional Online Independent Component Analysis
In Theory, Probabilistic Methods
Chuang Wang · Yue Lu
Spotlight
Wed Dec 06 11:55 AM -- 12:00 PM (PST) @ Hall C
Generalizing GANs: A Turing Perspective
In Deep Learning
Roderich Gross · Yue Gu · Wei Li · Melvin Gauci
Spotlight
Wed Dec 06 03:20 PM -- 03:25 PM (PST) @ Hall A
Dual Path Networks
In Reinforcement Learning, Deep Learning
Yunpeng Chen · Jianan Li · Huaxin Xiao · Xiaojie Jin · Shuicheng Yan · Jiashi Feng
Spotlight
Wed Dec 06 03:20 PM -- 03:25 PM (PST) @ Hall C
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
In Optimization
Fabian Pedregosa · Rémi Leblond · Simon Lacoste-Julien
Spotlight
Wed Dec 06 03:25 PM -- 03:30 PM (PST) @ Hall A
A simple neural network module for relational reasoning
In Reinforcement Learning, Deep Learning
Adam Santoro · David Raposo · David Barrett · Mateusz Malinowski · Razvan Pascanu · Peter Battaglia · Timothy Lillicrap
Spotlight
Wed Dec 06 03:25 PM -- 03:30 PM (PST) @ Hall C
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
In Optimization
Alberto Bietti · Julien Mairal
Spotlight
Wed Dec 06 03:30 PM -- 03:35 PM (PST) @ Hall A
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
In Reinforcement Learning, Deep Learning
Yuhuai Wu · Elman Mansimov · Roger Grosse · Shun Liao · Jimmy Ba
Spotlight
Wed Dec 06 03:30 PM -- 03:35 PM (PST) @ Hall C
Process-constrained batch Bayesian optimisation
In Optimization
Pratibha Vellanki · Santu Rana · Sunil Gupta · David Rubin · Alessandra Sutti · Thomas Dorin · Murray Height · Paul Sanders · Svetha Venkatesh
Spotlight
Wed Dec 06 03:35 PM -- 03:40 PM (PST) @ Hall A
Attention is All you Need
In Reinforcement Learning, Deep Learning
Ashish Vaswani · Noam Shazeer · Niki Parmar · Jakob Uszkoreit · Llion Jones · Aidan Gomez · Łukasz Kaiser · Illia Polosukhin
Spotlight
Wed Dec 06 03:35 PM -- 03:40 PM (PST) @ Hall C
Safe Adaptive Importance Sampling
In Optimization
Sebastian Stich · Anant Raj · Martin Jaggi
Spotlight
Wed Dec 06 03:40 PM -- 03:45 PM (PST) @ Hall A
Learning Combinatorial Optimization Algorithms over Graphs
In Reinforcement Learning, Deep Learning
Elias Khalil · Hanjun Dai · Yuyu Zhang · Bistra Dilkina · Le Song
Spotlight
Wed Dec 06 03:40 PM -- 03:45 PM (PST) @ Hall C
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
In Optimization
Omar El Housni · Vineet Goyal
Spotlight
Wed Dec 06 03:45 PM -- 03:50 PM (PST) @ Hall A
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
In Reinforcement Learning, Deep Learning
Balaji Lakshminarayanan · Alexander Pritzel · Charles Blundell
Spotlight
Wed Dec 06 03:45 PM -- 03:50 PM (PST) @ Hall C
Straggler Mitigation in Distributed Optimization Through Data Encoding
In Optimization
Can Karakus · Yifan Sun · Suhas Diggavi · Wotao Yin
Spotlight
Wed Dec 06 05:05 PM -- 05:10 PM (PST) @ Hall A
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
In Reinforcement Learning, Algorithms, Applications
El Mahdi El-Mhamdi · Rachid Guerraoui · Hadrien Hendrikx · Alexandre Maurer
Spotlight
Wed Dec 06 05:05 PM -- 05:10 PM (PST) @ Hall C
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
In Probabilistic Methods, Applications
James McInerney
Spotlight
Wed Dec 06 05:10 PM -- 05:15 PM (PST) @ Hall A
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
In Reinforcement Learning, Algorithms, Applications
Christoph Dann · Tor Lattimore · Emma Brunskill
Spotlight
Wed Dec 06 05:10 PM -- 05:15 PM (PST) @ Hall C
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
In Probabilistic Methods, Applications
Jonathan Huggins · Ryan Adams · Tamara Broderick
Spotlight
Wed Dec 06 05:15 PM -- 05:20 PM (PST) @ Hall A
Repeated Inverse Reinforcement Learning
In Reinforcement Learning, Algorithms, Applications
Kareem Amin · Nan Jiang · Satinder Singh
Spotlight
Wed Dec 06 05:15 PM -- 05:20 PM (PST) @ Hall C
Multiresolution Kernel Approximation for Gaussian Process Regression
In Probabilistic Methods, Applications
Yi Ding · Risi Kondor · Jonathan Eskreis-Winkler
Spotlight
Wed Dec 06 05:20 PM -- 05:25 PM (PST) @ Hall A
Learning multiple visual domains with residual adapters
In Reinforcement Learning, Algorithms, Applications
Sylvestre-Alvise Rebuffi · Hakan Bilen · Andrea Vedaldi
Spotlight
Wed Dec 06 05:20 PM -- 05:25 PM (PST) @ Hall C
Multi-Information Source Optimization
In Probabilistic Methods, Applications
Matthias Poloczek · Jialei Wang · Peter Frazier
Spotlight
Wed Dec 06 05:25 PM -- 05:30 PM (PST) @ Hall A
Natural Value Approximators: Learning when to Trust Past Estimates
In Reinforcement Learning, Algorithms, Applications
Zhongwen Xu · Joseph Modayil · Hado van Hasselt · Andre Barreto · David Silver · Tom Schaul
Spotlight
Wed Dec 06 05:25 PM -- 05:30 PM (PST) @ Hall C
Doubly Stochastic Variational Inference for Deep Gaussian Processes
In Probabilistic Methods, Applications
Hugh Salimbeni · Marc Deisenroth
Spotlight
Wed Dec 06 05:30 PM -- 05:35 PM (PST) @ Hall A
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
In Reinforcement Learning, Algorithms, Applications
Justin Fu · John Co-Reyes · Sergey Levine
Spotlight
Wed Dec 06 05:30 PM -- 05:35 PM (PST) @ Hall C
Permutation-based Causal Inference Algorithms with Interventions
In Probabilistic Methods, Applications
Yuhao Wang · Liam Solus · Karren Yang · Caroline Uhler
Spotlight
Wed Dec 06 05:35 PM -- 05:40 PM (PST) @ Hall A
Regret Minimization in MDPs with Options without Prior Knowledge
In Reinforcement Learning, Algorithms, Applications
Ronan Fruit · Matteo Pirotta · Alessandro Lazaric · Emma Brunskill
Spotlight
Wed Dec 06 05:35 PM -- 05:40 PM (PST) @ Hall C
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
In Probabilistic Methods, Applications
John T Halloran · David M Rocke
Spotlight
Wed Dec 06 05:40 PM -- 05:45 PM (PST) @ Hall A
Successor Features for Transfer in Reinforcement Learning
In Reinforcement Learning, Algorithms, Applications
Andre Barreto · Will Dabney · Remi Munos · Jonathan Hunt · Tom Schaul · David Silver · Hado van Hasselt
Spotlight
Wed Dec 06 05:40 PM -- 05:45 PM (PST) @ Hall C
Style Transfer from Non-parallel Text by Cross-Alignment
In Probabilistic Methods, Applications
Tianxiao Shen · Tao Lei · Regina Barzilay · Tommi Jaakkola
Spotlight
Wed Dec 06 05:45 PM -- 05:50 PM (PST) @ Hall A
Overcoming Catastrophic Forgetting by Incremental Moment Matching
In Reinforcement Learning, Algorithms, Applications
Sang-Woo Lee · Jin-Hwa Kim · Jaehyun Jun · Jung-Woo Ha · Byoung-Tak Zhang
Spotlight
Wed Dec 06 05:45 PM -- 05:50 PM (PST) @ Hall C
Premise Selection for Theorem Proving by Deep Graph Embedding
In Probabilistic Methods, Applications
Mingzhe Wang · Yihe Tang · Jian Wang · Jia Deng
Spotlight
Wed Dec 06 05:50 PM -- 05:55 PM (PST) @ Hall A
Fair Clustering Through Fairlets
In Reinforcement Learning, Algorithms, Applications
Flavio Chierichetti · Ravi Kumar · Silvio Lattanzi · Sergei Vassilvitskii
Spotlight
Wed Dec 06 05:50 PM -- 05:55 PM (PST) @ Hall C
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks
In Probabilistic Methods, Applications
Ahmed M. Alaa · Mihaela van der Schaar
Spotlight
Wed Dec 06 05:55 PM -- 06:00 PM (PST) @ Hall A
Fitting Low-Rank Tensors in Constant Time
In Reinforcement Learning, Algorithms, Applications
Kohei Hayashi · Yuichi Yoshida
Spotlight
Wed Dec 06 05:55 PM -- 06:00 PM (PST) @ Hall C
Unsupervised Learning of Disentangled Representations from Video
In Probabilistic Methods, Applications
Emily Denton · vighnesh Birodkar
Spotlight
Thu Dec 07 11:55 AM -- 12:00 PM (PST) @ Hall A
Scene Physics Acquisition via Visual De-animation
In Neuroscience
Jiajun Wu · Erika Lu · Pushmeet Kohli · Bill Freeman · Josh Tenenbaum
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 A
Shape and Material from Sound
In Neuroscience
Zhoutong Zhang · Qiujia Li · Zhengjia Huang · Jiajun Wu · Josh Tenenbaum · Bill Freeman
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 A
Deep Hyperalignment
In Neuroscience
Muhammad Yousefnezhad · Daoqiang Zhang
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 A
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
In Neuroscience
Artur Speiser · Jinyao Yan · Evan Archer · Lars Buesing · Srinivas C Turaga · Jakob H Macke
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 A
Tensor encoding and decomposition of brain connectomes with application to tractography evaluation
In Neuroscience
Cesar F Caiafa · Olaf Sporns · Andrew Saykin · Franco Pestilli
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 A
Targeting EEG/LFP Synchrony with Neural Nets
In Neuroscience
Yitong Li · michael Murias · samantha Major · geraldine Dawson · Kafui Dzirasa · Lawrence Carin · David Carlson
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 A
Deep Networks for Decoding Natural Images from Retinal Signals
In Neuroscience
Nikhil Parthasarathy · Eleanor Batty · William Falcon · Thomas Rutten · Mohit Rajpal · E.J. Chichilnisky · Liam Paninski
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