Papers
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks
Anirvan Sengupta, Cengiz Pehlevan, Mariano Tepper et al.
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig, Moshiko Raboh, Gal Chechik et al.
Masking: A New Perspective of Noisy Supervision
Bo Han, Jiangchao Yao, Gang Niu et al.
Maximizing acquisition functions for Bayesian optimization
James Wilson, Frank Hutter, Marc Deisenroth
Maximizing Induced Cardinality Under a Determinantal Point Process
Jennifer A Gillenwater, Alex Kulesza, Sergei Vassilvitskii et al.
Maximum Causal Tsallis Entropy Imitation Learning
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Maximum-Entropy Fine Grained Classification
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar et al.
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues
Soumendu Sundar Mukherjee, Purnamrita Sarkar, Y. X. Rachel Wang et al.
Mean-field theory of graph neural networks in graph partitioning
Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
Measures of distortion for machine learning
Leena Chennuru Vankadara, Ulrike von Luxburg
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
Chen Liang, Mohammad Norouzi, Jonathan Berant et al.
Memory Replay GANs: Learning to Generate New Categories without Forgetting
Chenshen Wu, Luis Herranz, Xialei Liu et al.
Mental Sampling in Multimodal Representations
Jianqiao Zhu, Adam Sanborn, Nick Chater
Mesh-TensorFlow: Deep Learning for Supercomputers
Noam Shazeer, Youlong Cheng, Niki Parmar et al.
MetaAnchor: Learning to Detect Objects with Customized Anchors
Tong Yang, Xiangyu Zhang, Zeming Li et al.
MetaGAN: An Adversarial Approach to Few-Shot Learning
Ruixiang ZHANG, Tong Che, Zoubin Ghahramani et al.
Meta-Gradient Reinforcement Learning
Zhongwen Xu, Hado P van Hasselt, David Silver
Meta-Learning MCMC Proposals
Tongzhou Wang, YI WU, Dave Moore et al.
MetaReg: Towards Domain Generalization using Meta-Regularization
Yogesh Balaji, Swami Sankaranarayanan, Rama Chellappa
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta, Russell Mendonca, YuXuan Liu et al.
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators
Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda et al.
Middle-Out Decoding
Shikib Mehri, Leonid Sigal
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Edward Choi, Cao Xiao, Walter Stewart et al.
Minimax Estimation of Neural Net Distance
Kaiyi Ji, Yingbin Liang
Minimax Statistical Learning with Wasserstein distances
Jaeho Lee, Maxim Raginsky