Papers
Massively Parallel Algorithms and Hardness for Single-Linkage Clustering under $\ell_p$ Distances
Grigory Yaroslavtsev, Adithya Vadapalli
Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation
Zhong Zhou, Matthias Sperber, Alexander Waibel
Massively Parallel Video Networks
Joao Carreira, Viorica Patraucean, Laurent Mazare et al.
MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation
Sen Su, Li Sun, Zhongbao Zhang et al.
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent
Zhilin Yang, Saizheng Zhang, Jack Urbanek et al.
Master-Slave Curriculum Design for Reinforcement Learning
Yuechen Wu, Wei Zhang, Ke Song
Matching Adversarial Networks
Gellért Máttyus, Raquel Urtasun
Matching Pixels Using Co-Occurrence Statistics
Rotal Kat, Roy Jevnisek, Shai Avidan
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image
Zhengqin Li, Kalyan Sunkavalli, Manmohan Chandraker
Matrix capsules with EM routing
Geoffrey E Hinton, Sara Sabour, Nicholas Frosst
Matrix completability analysis via graph k-connectivity
Dehua Cheng, Natali Ruchansky, Yan Liu
Matrix completion with Preference Ranking for Top-N Recommendation
Zengmao Wang, Yuhong Guo, Bo Du
Matrix-normal models for fMRI analysis
Michael Shvartsman, Narayanan Sundaram, Mikio Aoi et al.
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order
Vladimir Braverman, Stephen Chestnut, Robert Krauthgamer et al.
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers
Stephan R. Richter, Stefan Roth
MAttNet: Modular Attention Network for Referring Expression Comprehension
Licheng Yu, Zhe Lin, Xiaohui Shen et al.
Maximin Share Allocations on Cycles
Zbigniew Lonc, Miroslaw Truszczynski
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 a Posteriori Policy Optimisation
Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa et al.
Maximum Causal Tsallis Entropy Imitation Learning
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku et al.
Maximum-Entropy Fine Grained Classification
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar et al.
Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard
Christopher Tosh, Sanjoy Dasgupta
Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification
T M Feroz Ali, Subhasis Chaudhuri