Papers
8,340 papers found
Meta-Learning with Memory-Augmented Neural Networks
Adam Santoro, Sergey Bartunov, Matthew Botvinick et al.
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz et al.
Minimizing the Maximal Loss: How and Why
Shai Shalev-Shwartz, Yonatan Wexler
Minimum Regret Search for Single- and Multi-Task Optimization
Jan Hendrik Metzen
Mixture Proportion Estimation via Kernel Embeddings of Distributions
Harish Ramaswamy, Clayton Scott, Ambuj Tewari
Model-Free Imitation Learning with Policy Optimization
Jonathan Ho, Jayesh Gupta, Stefano Ermon
Model-Free Trajectory Optimization for Reinforcement Learning
Riad Akrour, Gerhard Neumann, Hany Abdulsamad et al.
Multi-Bias Non-linear Activation in Deep Neural Networks
Hongyang Li, Wanli Ouyang, Xiaogang Wang
Multi-Player Bandits – a Musical Chairs Approach
Jonathan Rosenski, Ohad Shamir, Liran Szlak
Near Optimal Behavior via Approximate State Abstraction
David Abel, David Hershkowitz, Michael Littman
Network Morphism
Tao Wei, Changhu Wang, Yong Rui et al.
Neural Variational Inference for Text Processing
Yishu Miao, Lei Yu, Phil Blunsom
Noisy Activation Functions
Caglar Gulcehre, Marcin Moczulski, Misha Denil et al.
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models
Qinliang Su, Xuejun Liao, Changyou Chen et al.
Non-negative Matrix Factorization under Heavy Noise
Chiranjib Bhattacharya, Navin Goyal, Ravindran Kannan et al.
Nonparametric Canonical Correlation Analysis
Tomer Michaeli, Weiran Wang, Karen Livescu
No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing
Nihar Shah, Dengyong Zhou
No penalty no tears: Least squares in high-dimensional linear models
Xiangyu Wang, David Dunson, Chenlei Leng
No-Regret Algorithms for Heavy-Tailed Linear Bandits
Andres Munoz Medina, Scott Yang
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
Devansh Arpit, Yingbo Zhou, Bhargava Kota et al.
On collapsed representation of hierarchical Completely Random Measures
Gaurav Pandey, Ambedkar Dukkipati
One-Shot Generalization in Deep Generative Models
Danilo Rezende, Shakir, Ivo Danihelka et al.
On Graduated Optimization for Stochastic Non-Convex Problems
Elad Hazan, Kfir Yehuda Levy, Shai Shalev-Shwartz
Online Learning with Feedback Graphs Without the Graphs
Alon Cohen, Tamir Hazan, Tomer Koren