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1835
papertalks found
06/12/2020
Dual-Resolution Correspondence Networks
Xinghui Li
,
Kai Han
,
Shuda Li
,
Victor Prisacariu
Keywords
Abstract
Paper
3:18
06/12/2020
Generating Correct Answers for Progressive Matrices Intelligence Tests
Niv Pekar
,
Yaniv Benny
,
Lior Wolf
Keywords
Abstract
Paper
2:40
06/12/2020
Certifiably Adversarially Robust Detection of Out-of-Distribution Data
Julian Bitterwolf
,
Alexander Meinke
,
Matthias Hein
Keywords
Abstract
Paper
3:20
06/12/2020
Matérn Gaussian Processes on Riemannian Manifolds
Viacheslav Borovitskiy
,
Alexander Terenin
,
Peter Mostowsky
,
Marc Deisenroth
Keywords
Abstract
Paper
3:23
06/12/2020
The Wasserstein Proximal Gradient Algorithm
Adil Salim
,
Anna Korba
,
Giulia Luise
Keywords
Abstract
Paper
3:14
06/12/2020
Asymptotically Optimal Exact Minibatch Metropolis-Hastings
Ruqi Zhang
,
A. Feder Cooper
,
Christopher De Sa
Keywords
Abstract
Paper
3:24
06/12/2020
Truthful Data Acquisition via Peer Prediction
Yiling Chen
,
Yiheng Shen
,
Shuran Zheng
Keywords
Abstract
Paper
3:22
06/12/2020
Approximate Cross-Validation for Structured Models
Soumya Ghosh
,
Will Stephenson
,
Stan Nguyen
and
Sameer Deshpande
,
Tamara Broderick
Keywords
Abstract
Paper
3:24
06/12/2020
Generalized Hindsight for Reinforcement Learning
Alex Li
,
Lerrel Pinto
,
Pieter Abbeel
Keywords
Abstract
Paper
3:20
06/12/2020
Stochastic Normalization
Zhi Kou
,
Kaichao You
,
Mingsheng Long
,
Jianmin Wang
Keywords
Abstract
Paper
3:13
06/12/2020
Regression with reject option and application to kNN
Ahmed Zaoui
,
Christophe Denis
,
Mohamed Hebiri
Keywords
Abstract
Paper
3:06
06/12/2020
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
Wei Deng
,
Guang Lin
,
Faming Liang
Keywords
Abstract
Paper
3:26
06/12/2020
Adversarial Blocking Bandits
Nicholas Bishop
,
Hau Chan
,
Debmalya Mandal
,
Long Tran-Thanh
Keywords
Abstract
Paper
3:09
06/12/2020
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables
Zhe Dong
,
Andriy Mnih
,
George Tucker
Keywords
Abstract
Paper
3:37
06/12/2020
FleXOR: Trainable Fractional Quantization
Dongsoo Lee
,
Se Jung Kwon
,
Byeongwook Kim
and
Yongkweon Jeon
,
Baeseong Park
,
Jeongin Yun
Keywords
Abstract
Paper
3:12
06/12/2020
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
Moshe Eliasof
,
Eran Treister
Keywords
Abstract
Paper
3:20
06/12/2020
Handling Missing Data with Graph Representation Learning
Jiaxuan You
,
Xiaobai Ma
,
Daisy Ding
and
Mykel J Kochenderfer
,
Jure Leskovec
Keywords
Abstract
Paper
3:23
06/12/2020
From Boltzmann Machines to Neural Networks and Back Again
Surbhi Goel
,
Adam Klivans
,
Frederic Koehler
Keywords
Abstract
Paper
Algorithms -> Nonlinear Dimensionality Reduction and Manifold Learning
,
Algorithms -> Regression
3:26
06/12/2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
Andrew Jesson
,
Sören Mindermann
,
Uri Shalit
,
Yarin Gal
Keywords
Abstract
Paper
,
Theory -> Learning Theory
3:31
06/12/2020
Stochastic Optimization with Laggard Data Pipelines
Naman Agarwal
,
Rohan Anil
,
Tomer Koren
and
Kunal Talwar
,
Cyril Zhang
Keywords
Abstract
Paper
2:58
06/12/2020
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning
Xin Zhang
,
Yanhua Li
,
Ziming Zhang
,
Zhi-Li Zhang
Keywords
Abstract
Paper
3:22
06/12/2020
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks
Randall Balestriero
,
Sebastien PARIS
,
Richard Baraniuk
Keywords
Abstract
Paper
3:17
06/12/2020
Unsupervised Text Generation by Learning from Search
Jingjing Li
,
Zichao Li
,
Lili Mou
and
Xin Jiang
,
Michael Lyu
,
Irwin King
Keywords
Abstract
Paper
3:24
06/12/2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Karl Pertsch
,
Oleh Rybkin
,
Frederik Ebert
and
Shenghao Zhou
,
Dinesh Jayaraman
,
Chelsea Finn
,
Sergey Levine
Keywords
Abstract
Paper
Applications -> Robotics; Reinforcement Learning and Planning -> Exploration; Reinforcement Learning and Planning -> Reinforcem
,
Algorithms -> Multitask and Transfer Learning
3:16
06/12/2020
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
Nikolaos Karalias
,
Andreas Loukas
Keywords
Abstract
Paper
3:20
06/12/2020
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
Ping Hu
,
Stan Sclaroff
,
Kate Saenko
Keywords
Abstract
Paper
3:24
06/12/2020
Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs
Xiangru Huang
,
Haitao Yang
,
Etienne Vouga
,
Qixing Huang
Keywords
Abstract
Paper
3:00
06/12/2020
Learning to Learn with Feedback and Local Plasticity
Jack Lindsey
,
Ashok Litwin-Kumar
Keywords
Abstract
Paper
3:01
06/12/2020
Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi
,
Frederick Liu
,
Satyen Kale
,
Mukund Sundararajan
Keywords
Abstract
Paper
Algorithms; Algorithms -> Online Learning; Optimization -> Combinatorial Optimization; Optimization -> Convex Optimization; The
,
Algorithms -> Bandit Algorithms
3:18
06/12/2020
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration
Andrea Zanette
,
Alessandro Lazaric
,
Mykel J Kochenderfer
,
Emma Brunskill
Keywords
Abstract
Paper
3:11
06/12/2020
Self-Supervised Generative Adversarial Compression
Chong Yu
,
Jeff Pool
Keywords
Abstract
Paper
3:20
06/12/2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data
Kristopher Jensen
,
Ta-Chu Kao
,
Marco Tripodi
,
Guillaume Hennequin
Keywords
Abstract
Paper
3:18
06/12/2020
POMDPs in Continuous Time and Discrete Spaces
Bastian Alt
,
Matthias Schultheis
,
Heinz Koeppl
Keywords
Abstract
Paper
3:01
06/12/2020
The Generalization-Stability Tradeoff In Neural Network Pruning
Brian Bartoldson
,
Ari Morcos
,
Adrian Barbu
,
Gordon Erlebacher
Keywords
Abstract
Paper
3:12
06/12/2020
Fast and Flexible Temporal Point Processes with Triangular Maps
Oleksandr Shchur
,
Nicholas Gao
,
Marin Biloš
,
Stephan Günnemann
Keywords
Abstract
Paper
Algorithms -> Few-Shot Learning
,
Algorithms -> Meta-Learning
3:24
06/12/2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Marvin Eisenberger
,
Aysim Toker
,
Laura Leal-Taixé
,
Daniel Cremers
Keywords
Abstract
Paper
3:23
06/12/2020
Debiased Contrastive Learning
Ching-Yao Chuang
,
Joshua Robinson
,
Yen-Chen Lin
and
Antonio Torralba
,
Stefanie Jegelka
Keywords
Abstract
Paper
2:50
06/12/2020
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
Alon Talmor
,
Oyvind Tafjord
,
Peter Clark
and
Yoav Goldberg
,
Jonathan Berant
Keywords
Abstract
Paper
3:28
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
Point process models for sequence detection in high-dimensional neural spike trains
Alex Williams
,
Anthony Degleris
,
Yixin Wang
,
Scott Linderman
Keywords
Abstract
Paper
3:26
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