Papers
META LEARNING SHARED HIERARCHIES
Kevin Frans, Jonathan Ho, Xi Chen et al.
Meta-Level Control of Anytime Algorithms with Online Performance Prediction
Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein
MetaReg: Towards Domain Generalization using Meta-Regularization
Yogesh Balaji, Swami Sankaranarayanan, Rama Chellappa
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta, Russell Mendonca, YuXuan Liu et al.
Meteor++: Incorporating Copy Knowledge into Machine Translation Evaluation
Yinuo Guo, Chong Ruan, Junfeng Hu
Methods for off-line/on-line optimization under uncertainty
Allegra De Filippo, Michele Lombardi, Michela Milano
#MeToo Alexa: How Conversational Systems Respond to Sexual Harassment
Amanda Cercas Curry, Verena Rieser
Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations
Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators
Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda et al.
Metrics for Deep Generative Models
Nutan Chen, Alexej Klushyn, Richard Kurle et al.
Metron: NFV Service Chains at the True Speed of the Underlying Hardware
Georgios P. Katsikas, Tom Barbette, Dejan Kostic et al.
MGAN: Training Generative Adversarial Nets with Multiple Generators
Quan Hoang, Tu Dinh Nguyen, Trung Le et al.
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse
Xingshan Zeng, Jing Li, Lu Wang et al.
MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition
Yizhou Zhou, Xiaoyan Sun, Zheng-Jun Zha et al.
Middle-Out Decoding
Shikib Mehri, Leonid Sigal
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Edward Choi, Cao Xiao, Walter Stewart et al.
MindLab Neural Network Approach at BioASQ 6B
Andrés Rosso-Mateus, Fabio A. González, Manuel Montes-y-Gómez
Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions
Kira Droganova, Filip Ginter, Jenna Kanerva et al.
Min-Entropy Latent Model for Weakly Supervised Object Detection
Fang Wan, Pengxu Wei, Jianbin Jiao et al.
Minibatch Gibbs Sampling on Large Graphical Models
Chris De Sa, Vincent Chen, Wing Wong
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
Pietro Morerio, Jacopo Cavazza, Vittorio Murino
Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models
Raj Agrawal, Caroline Uhler, Tamara Broderick
Minimax Bounds on Stochastic Batched Convex Optimization
John Duchi, Feng Ruan, Chulhee Yun
Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates
Xue Wang, Mingcheng Wei, Tao Yao