Papers
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes
Fabian Brickwedde, Steffen Abraham, Rudolf Mester
Monotone Learning with Rectified Wire Networks
Veit Elser, Dan Schmidt, Jonathan Yedidia
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey et al.
Monoxide: Scale out Blockchains with Asynchronous Consensus Zones
Jiaping Wang, Hao Wang
Monte Carlo Tree Search for Policy Optimization
Xiaobai Ma, Katherine Driggs-Campbell, Zongzhang Zhang et al.
MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues
Chandrakant Bothe, Stefan Wermter
Mop Moire Patterns Using MopNet
Bin He, Ce Wang, Boxin Shi et al.
Moral Permissibility of Action Plans
Felix Lindner, Robert Mattmüller, Bernhard Nebel
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
Aurelien Bibaut, Ivana Malenica, Nikos Vlassis et al.
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
Quanfu Fan, Chun-Fu (Richard) Chen, Hilde Kuehne et al.
MOROCO: The Moldavian and Romanian Dialectal Corpus
Andrei Butnaru, Radu Tudor Ionescu
Morpheus: A Neural Network for Jointly Learning Contextual Lemmatization and Morphological Tagging
Eray Yildiz, A. Cüneyd Tantuğ
Morphological Irregularity Correlates with Frequency
Shijie Wu, Ryan Cotterell, Timothy O’Donnell
Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan
Faisal Alshargi, Shahd Dibas, Sakhar Alkhereyf et al.
Morphology-aware Word-Segmentation in Dialectal Arabic Adaptation of Neural Machine Translation
Ahmed Tawfik, Mahitab Emam, Khaled Essam et al.
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning
Daniel C. Castro, Jeremy Tan, Bernhard Kainz et al.
MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding
Nils Rethmeier, Barbara Plank
MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion
Chen-Chou Lo, Szu-Wei Fu, Wen-Chin Huang et al.
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation
Samuel Ainsworth, Matt Barnes, Siddhartha Srinivasa
Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views
Kun Huang, Yifu Wang, Laurent Kneip
Motion Guided Attention for Video Salient Object Detection
Haofeng Li, Guanqi Chen, Guanbin Li et al.
Motion Guided Spatial Attention for Video Captioning
Shaoxiang Chen, Yu-Gang Jiang
Motion Invariance in Visual Environments
Alessandro Betti, Marco Gori, Stefano Melacci
Motion Planning, Design Optimization and Fabrication of Ferromagnetic Swimmers
Jaskaran Singh Grover, Daniel Vedova, Nalini Jain et al.