Papers
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Yuzhe Yang, Guo Zhang, Dina Katabi et al.
Meta-Learning Neural Bloom Filters
Jack Rae, Sergey Bartunov, Timothy Lillicrap
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao et al.
Metric-Optimized Example Weights
Sen Zhao, Mahdi Milani Fard, Harikrishna Narasimhan et al.
Metropolis-Hastings Generative Adversarial Networks
Ryan Turner, Jane Hung, Eric Frank et al.
Minimal Achievable Sufficient Statistic Learning
Milan Cvitkovic, Günther Koliander
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets
Pierre-Alexandre Mattei, Jes Frellsen
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor et al.
Mixture Models for Diverse Machine Translation: Tricks of the Trade
Tianxiao Shen, Myle Ott, Michael Auli et al.
Model-Based Active Exploration
Pranav Shyam, Wojciech Jaśkowski, Faustino Gomez
Model Comparison for Semantic Grouping
Francisco Vargas, Kamen Brestnichki, Nils Hammerla
Model Function Based Conditional Gradient Method with Armijo-like Line Search
Peter Ochs, Yura Malitsky
Moment-Based Variational Inference for Markov Jump Processes
Christian Wildner, Heinz Koeppl
Monge blunts Bayes: Hardness Results for Adversarial Training
Zac Cranko, Aditya Menon, Richard Nock et al.
MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means
Matthieu Lerasle, Zoltan Szabo, Timothée Mathieu et al.
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
Aurelien Bibaut, Ivana Malenica, Nikos Vlassis et al.
Multi-Agent Adversarial Inverse Reinforcement Learning
Lantao Yu, Jiaming Song, Stefano Ermon
Multi-Frequency Phase Synchronization
Tingran Gao, Zhizhen Zhao
Multi-Frequency Vector Diffusion Maps
Yifeng Fan, Zhizhen Zhao
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque, Joao Monteiro, Thang Doan et al.
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra et al.
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always
Ioannis Panageas, Georgios Piliouras, Xiao Wang
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching
Ziliang Chen, Zhanfu Yang, Xiaoxi Wang et al.
Multivariate Submodular Optimization
Richard Santiago, F. Bruce Shepherd