Papers
Multi-View Harmonized Bilinear Network for 3D Object Recognition
Tan Yu, Jingjing Meng, Junsong Yuan
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
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.
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.
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.
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
Named Entity Recognition for Hindi-English Code-Mixed Social Media Text
Vinay Singh, Deepanshu Vijay, Syed Sarfaraz Akhtar et al.
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task
Gustavo Aguilar, Fahad AlGhamdi, Victor Soto et al.
Named Entity Recognition on Code-Switched Data Using Conditional Random Fields
Utpal Kumar Sikdar, Biswanath Barik, Björn Gambäck
Named Entity Recognition With Parallel Recurrent Neural Networks
Andrej Žukov-Gregorič, Yoram Bachrach, Sam Coope
Named-Entity Tagging and Domain adaptation for Better Customized Translation
Zhongwei Li, Xuancong Wang, Ai Ti Aw et al.
Narrative Modeling with Memory Chains and Semantic Supervision
Fei Liu, Trevor Cohn, Timothy Baldwin