Papers
Multi-view Metric Learning in Vector-valued Kernel Spaces
Riikka Huusari, Hachem Kadri, Cécile Capponi
Multi-view Models for Political Ideology Detection of News Articles
Vivek Kulkarni, Junting Ye, Steve Skiena et al.
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
Edward Smith, Scott Fujimoto, David Meger
Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence
Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao et al.
Multiway Attention Networks for Modeling Sentence Pairs
Chuanqi Tan, Furu Wei, Wenhui Wang et al.
Multiwinner Voting with Fairness Constraints
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
Multiwinner Voting with Restricted Admissible Sets: Complexity and Strategyproofness
Yongjie Yang, Jianxin Wang
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng et al.
Mumpitz at PARSEME Shared Task 2018: A Bidirectional LSTM for the Identification of Verbal Multiword Expressions
Rafael Ehren, Timm Lichte, Younes Samih
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling
Jianpeng Xu, Xi Liu, Tyler Wilson et al.
Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond
Piotr Koniusz, Yusuf Tas, Hongguang Zhang et al.
Music Genre Recognition Using Deep Neural Networks and Transfer Learning
Deepanway Ghosal, Maheshkumar H. Kolekar
Music Source Activity Detection and Separation Using Deep Attractor Network
Rajath Kumar, Yi Luo, Nima Mesgarani
Mutual Information Neural Estimation
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar et al.
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation
Xuecheng Nie, Jiashi Feng, Shuicheng Yan
MVSNet: Depth Inference for Unstructured Multi-view Stereo
Yao Yao, Zixin Luo, Shiwei Li et al.
MVTec D2S: Densely Segmented Supermarket Dataset
Patrick Follmann, Tobias Bottger, Philipp Hartinger et al.
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
Yelong Shen, Jianshu Chen, Po-Sen Huang et al.
MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses
Irtiza Hasan, Francesco Setti, Theodore Tsesmelis et al.
N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning
Anubhav Ashok, Nicholas Rhinehart, Fares Beainy et al.
NAG: Network for Adversary Generation
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg et al.
NAI-SEA at SemEval-2018 Task 5: An Event Search System
Yingchi Liu, Quanzhi Li, Luo Si
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
Marco Ciccone, Marco Gallieri, Jonathan Masci et al.
Naive Bayesian Classifiers with Extreme Probability Features
Linda C. van der Gaag, Andrea Capotorti