Papers
Dimensionality reduction: theoretical perspective on practical measures
Yair Bartal, Nova Fandina, Ofer Neiman
Causal Confusion in Imitation Learning
Pim de Haan, Dinesh Jayaraman, Sergey Levine
Maximum Mean Discrepancy Gradient Flow
Michael Arbel, Anna Korba, Adil SALIM et al.
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
Joan Serrà, Santiago Pascual, Carlos Segura Perales
Bayesian Joint Estimation of Multiple Graphical Models
Lingrui Gan, Xinming Yang, Naveen Narisetty et al.
Smoothing Structured Decomposable Circuits
Andy Shih, Guy Van den Broeck, Paul Beame et al.
Multi-Resolution Weak Supervision for Sequential Data
Paroma Varma, Frederic Sala, Shiori Sagawa et al.
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models
Linfeng Zhang, Zhanhong Tan, Jiebo Song et al.
Are Anchor Points Really Indispensable in Label-Noise Learning?
Xiaobo Xia, Tongliang Liu, Nannan Wang et al.
Connections Between Mirror Descent, Thompson Sampling and the Information Ratio
Julian Zimmert, Tor Lattimore
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen et al.
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum
Shreyas Saxena, Oncel Tuzel, Dennis DeCoste
On Robustness of Principal Component Regression
Anish Agarwal, Devavrat Shah, Dennis Shen et al.
Self-Supervised Generalisation with Meta Auxiliary Learning
Shikun Liu, Andrew Davison, Edward Johns
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou, Ziniu Hu, Yewen Wang et al.
Finding Friend and Foe in Multi-Agent Games
Jack Serrino, Max Kleiman-Weiner, David C. Parkes et al.
Lookahead Optimizer: k steps forward, 1 step back
Michael Zhang, James Lucas, Jimmy Ba et al.
Structured Graph Learning Via Laplacian Spectral Constraints
Sandeep Kumar, Jiaxi Ying, Jose Vinicius de Miranda Cardoso et al.
Regularized Weighted Low Rank Approximation
Frank Ban, David Woodruff, Richard Zhang
Limiting Extrapolation in Linear Approximate Value Iteration
Andrea Zanette, Alessandro Lazaric, Mykel J Kochenderfer et al.
Markov Random Fields for Collaborative Filtering
Harald Steck
Computing Linear Restrictions of Neural Networks
Matthew Sotoudeh, Aditya V Thakur
Incremental Scene Synthesis
Benjamin Planche, Xuejian Rong, Ziyan Wu et al.
Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time
Karlis Freivalds, Emīls Ozoliņš, Agris Šostaks
Optimal Sampling and Clustering in the Stochastic Block Model
Se-Young Yun, Alexandre Proutiere