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1835
papertalks found
06/12/2020
Deep Transformers with Latent Depth
Xian Li
,
Asa Cooper Stickland
,
Yuqing Tang
,
Xiang Kong
Keywords
Abstract
Paper
3:17
06/12/2020
Energy-based Out-of-distribution Detection
Weitang Liu
,
Xiaoyun Wang
,
John Owens
,
Sharon Li
Keywords
Abstract
Paper
3:20
06/12/2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Jason Yu
,
Konstantinos Derpanis
,
Marcus Brubaker
Keywords
Abstract
Paper
3:23
06/12/2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
Jeong Un Ryu
,
JWoong Shin
,
Hae Beom Lee
,
Sung Ju Hwang
Keywords
Abstract
Paper
3:32
06/12/2020
Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning
Chandrashekar Lakshminarayanan
,
Amit Vikram Singh
Keywords
Abstract
Paper
3:20
06/12/2020
Self-Distillation as Instance-Specific Label Smoothing
Zhilu Zhang
,
Mert Sabuncu
Keywords
Abstract
Paper
3:09
06/12/2020
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
Bastian Rieck
,
Tristan Yates
,
Christian Bock
and
Karsten Borgwardt
,
Guy Wolf
,
Nicholas Turk-Browne
,
Smita Krishnaswamy
Keywords
Abstract
Paper
2:18
06/12/2020
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC
Arun Ganesh
,
Kunal Talwar
Keywords
Abstract
Paper
3:21
06/12/2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Weili Nie
,
Zhiding Yu
,
Lei Mao
and
Ankit Patel
,
Yuke Zhu
,
Anima Anandkumar
Keywords
Abstract
Paper
3:23
06/12/2020
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval
Fan Wu
,
Patrick Rebeschini
Keywords
Abstract
Paper
3:22
06/12/2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
Miguel Monteiro
,
Loic Le Folgoc
,
Daniel Coelho de Castro
and
Nick Pawlowski
,
Bernardo Marques
,
Konstantinos Kamnitsas
,
Mark van der Wilk
,
Ben Glocker
Keywords
Abstract
Paper
3:23
06/12/2020
Near-Optimal Comparison Based Clustering
Michaël Perrot
,
Pascal Esser
,
Debarghya Ghoshdastidar
Keywords
Abstract
Paper
3:08
06/12/2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
Xiao Sun
,
Naigang Wang
,
Chia-Yu Chen
and
Jiamin Ni
,
Ankur Agrawal
,
Xiaodong Cui
,
Swagath Venkataramani
,
Kaoutar El Maghraoui
,
Vijayalakshmi (Viji) Srinivasan
,
Kailash Gopalakrishnan
Keywords
Abstract
Paper
3:24
06/12/2020
Empirical Likelihood for Contextual Bandits
Nikos Karampatziakis
,
John Langford
,
Paul Mineiro
Keywords
Abstract
Paper
2:02
06/12/2020
Hierarchical Neural Architecture Search for Deep Stereo Matching
Xuelian Cheng
,
Yiran Zhong
,
Mehrtash Harandi
and
Yuchao Dai
,
Xiaojun Chang
,
Hongdong Li
,
Tom Drummond
,
Zongyuan Ge
Keywords
Abstract
Paper
3:21
06/12/2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
Vijil Chenthamarakshan
,
Payel Das
,
Samuel Hoffman
and
Hendrik Strobelt
,
Inkit Padhi
,
Kar Wai Lim
,
Ben Hoover
,
Matteo Manica
,
Jannis Born
,
Teodoro Laino
,
Aleksandra Mojsilovic
Keywords
Abstract
Paper
3:18
06/12/2020
Winning the Lottery with Continuous Sparsification
Pedro Savarese
,
Hugo Silva
,
Michael Maire
Keywords
Abstract
Paper
3:17
06/12/2020
The MAGICAL Benchmark for Robust Imitation
Sam Toyer
,
Rohin Shah
,
Andrew Critch
,
Stuart Russell
Keywords
Abstract
Paper
Algorithms -> Regression
,
Neuroscience and Cognitive Science -> Brain Imaging
3:14
06/12/2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang
,
Wen Song
,
Zhiguang Cao
and
Jie Zhang
,
Puay Siew Tan
,
Xu Chi
Keywords
Abstract
Paper
3:17
06/12/2020
Generative 3D Part Assembly via Dynamic Graph Learning
jialei huang
,
Guanqi Zhan
,
Qingnan Fan
and
Kaichun Mo
,
Lin Shao
,
Baoquan Chen
,
Leonidas Guibas
,
Hao Dong
Keywords
Abstract
Paper
3:22
06/12/2020
Organizing recurrent network dynamics by task-computation to enable continual learning
Lea Duncker
,
Laura N Driscoll
,
Krishna V Shenoy
and
Maneesh Sahani
,
David Sussillo
Keywords
Abstract
Paper
3:07
06/12/2020
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
Gabriele Farina
,
Tuomas Sandholm
Keywords
Abstract
Paper
3:08
06/12/2020
Stationary Activations for Uncertainty Calibration in Deep Learning
Lassi Meronen
,
Christabella Irwanto
,
Arno Solin
Keywords
Abstract
Paper
3:15
06/12/2020
Graph Cross Networks with Vertex Infomax Pooling
Maosen Li
,
Siheng Chen
,
Ya Zhang
,
Ivor Tsang
Keywords
Abstract
Paper
3:23
06/12/2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang
,
Yang Zou
,
B. V. K. Vijaya Kumar
,
Dong Huang
Keywords
Abstract
Paper
Probabilistic Methods -> Bayesian Theory
,
Probabilistic Methods -> MCMC
3:20
06/12/2020
Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals
Jing Shi
,
Xuankai Chang
,
Pengcheng Guo
and
Shinji Watanabe
,
Yusuke Fujita
,
Jiaming Xu
,
Bo Xu
,
Lei Xie
Keywords
Abstract
Paper
3:23
06/12/2020
Graph Random Neural Networks for Semi-Supervised Learning on Graphs
Wenzheng Feng
,
Jie Zhang
,
Yuxiao Dong
and
Yu Han
,
Huanbo Luan
,
Qian Xu
,
Qiang Yang
,
Evgeny Kharlamov
,
Jie Tang
Keywords
Abstract
Paper
Applications -> Signal Processing
,
Theory -> Information Theory
3:23
06/12/2020
A Novel Approach for Constrained Optimization in Graphical Models
Sara Rouhani
,
Tahrima Rahman
,
Vibhav Gogate
Keywords
Abstract
Paper
3:21
06/12/2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?
Qiwen Cui
,
Lin Yang
Keywords
Abstract
Paper
Algorithms -> Semi-Supervised Learning; Deep Learning -> Deep Autoencoders; Deep Learning -> Generative Models
,
Probabilistic Methods -> Variational Inference
3:25
06/12/2020
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
Christian Tjandraatmadja
,
Ross Anderson
,
Joey Huchette
and
Will Ma
,
KRUNAL KISHOR PATEL
,
Juan Pablo Vielma
Keywords
Abstract
Paper
3:22
06/12/2020
Learning to Learn with Feedback and Local Plasticity
Jack Lindsey
,
Ashok Litwin-Kumar
Keywords
Abstract
Paper
3:01
06/12/2020
Adapting to Misspecification in Contextual Bandits
Dylan Foster
,
Claudio Gentile
,
Mehryar Mohri
,
Julian Zimmert
Keywords
Abstract
Paper
3:05
06/12/2020
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter
,
Ayman Boustati
,
Nikolas Nüsken
and
Francisco Ruiz
,
Omer Deniz Akyildiz
Keywords
Abstract
Paper
3:15
06/12/2020
Identifying Mislabeled Data using the Area Under the Margin Ranking
Geoff Pleiss
,
Tianyi Zhang
,
Ethan Elenberg
,
Kilian Weinberger
Keywords
Abstract
Paper
3:24
06/12/2020
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
Minh Hoang
,
Nghia Hoang
,
Hai Pham
,
David Woodruff
Keywords
Abstract
Paper
,
Deep Learning
3:25
06/12/2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Huanrui Yang
,
Jingyang Zhang
,
Hongliang Dong
and
Nathan Inkawhich
,
Andrew Gardner
,
Andrew Touchet
,
Wesley Wilkes
,
Heath Berry
,
Helen Li
Keywords
Abstract
Paper
3:25
06/12/2020
Simultaneous Preference and Metric Learning from Paired Comparisons
Austin Xu
,
Mark Davenport
Keywords
Abstract
Paper
3:17
06/12/2020
Generative causal explanations of black-box classifiers
Matt O'Shaughnessy
,
Gregory Canal
,
Marissa Connor
and
Christopher Rozell
,
Mark Davenport
Keywords
Abstract
Paper
3:19
06/12/2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Wei Zhou
,
Yiying Li
,
Yongxin Yang
and
Huaimin Wang
,
Timothy Hospedales
Keywords
Abstract
Paper
3:12
06/12/2020
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Ximeng Sun
,
Rameswar Panda
,
Rogerio Feris
,
Kate Saenko
Keywords
Abstract
Paper
3:13
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