Papers
MapNet: An Allocentric Spatial Memory for Mapping Environments
João F. Henriques, Andrea Vedaldi
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig, Moshiko Raboh, Gal Chechik et al.
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
Dipendra Misra, Andrew Bennett, Valts Blukis et al.
Mapping Language to Code in Programmatic Context
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung et al.
Mapping natural language commands to web elements
Panupong Pasupat, Tian-Shun Jiang, Evan Liu et al.
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction
Valts Blukis, Dipendra Misra, Ross A. Knepper et al.
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier
Marathon Race Planning: A Case-Based Reasoning Approach
Barry Smyth, Padraig Cunningham
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets
Nathan Greenberg, Trapit Bansal, Patrick Verga et al.
Marginal Singularity, and the Benefits of Labels in Covariate-Shift
Samory Kpotufe, Guillaume Martinet
Marian: Cost-effective High-Quality Neural Machine Translation in C++
Marcin Junczys-Dowmunt, Kenneth Heafield, Hieu Hoang et al.
Marian: Fast Neural Machine Translation in C++
Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak et al.
Markov Blanket and Markov Boundary of Multiple Variables
Xu-Qing Liu, Xin-Sheng Liu
Markov Decision Processes with Continuous Side Information
Aditya Modi, Nan Jiang, Satinder Singh et al.
Markov Random Field MAP as Set Partitioning
James Cussens
Markov Random Neural Fields for Face Sketch Synthesis
Mingjin Zhang, Nannan Wang, Xinbo Gao et al.
Marrying Universal Dependencies and Universal Morphology
Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell et al.
Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
Bingfeng Luo, Yansong Feng, Zheng Wang et al.
MaskConnect: Connectivity Learning by Gradient Descent
Karim Ahmed, Lorenzo Torresani
MaskGAN: Better Text Generation via Filling in the _______
William Fedus, Ian Goodfellow, Andrew M. Dai
Mask-Guided Contrastive Attention Model for Person Re-Identification
Chunfeng Song, Yan Huang, Wanli Ouyang et al.
Masking: A New Perspective of Noisy Supervision
Bo Han, Jiangchao Yao, Gang Niu et al.
MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features
Liang-Chieh Chen, Alexander Hermans, George Papandreou et al.
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
Pengyuan Lyu, Minghui Liao, Cong Yao et al.