Papers
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh et al.
Merge-and-Shrink Task Reformulation for Classical Planning
Álvaro Torralba, Silvan Sievers
Metadata-driven Task Relation Discovery for Multi-task Learning
Zimu Zheng, Yuqi Wang, Quanyu Dai et al.
Meta-Interpretive Learning Using HEX-Programs
Tobias Kaminski, Thomas Eiter, Katsumi Inoue
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems
Fei Mi, Minlie Huang, Jiyong Zhang et al.
Meta Reinforcement Learning with Task Embedding and Shared Policy
Lin Lan, Zhenguo Li, Xiaohong Guan et al.
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control
Kenny Young, Baoxiang Wang, Matthew E. Taylor
Metric Learning on Healthcare Data with Incomplete Modalities
Qiuling Suo, Weida Zhong, Fenglong Ma et al.
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
Shenda Hong, Cao Xiao, Tengfei Ma et al.
Mindful Active Learning
Zhila Esna Ashari, Hassan Ghasemzadeh
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss, Brandon Houghton, Nicholay Topin et al.
Minimizing Time-to-Rank: A Learning and Recommendation Approach
Haoming Li, Sujoy Sikdar, Rohit Vaish et al.
MiSC: Mixed Strategies Crowdsourcing
Ching Yun Ko, Rui Lin, Shu Li et al.
Mixed-World Reasoning with Existential Rules under Active-Domain Semantics
Meghyn Bienvenu, Pierre Bourhis
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction
Xu Chu, Yang Lin, Yasha Wang et al.
MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction
Zhi Qiao, Xian Wu, Shen Ge et al.
Model-Agnostic Adversarial Detection by Random Perturbations
Bo Huang, Yi Wang, Wei Wang
Model-Based Diagnosis with Multiple Observations
Alexey Ignatiev, Antonio Morgado, Georg Weissenbacher et al.
Model-Free Model Reconciliation
Sarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra et al.
Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations
Dong Zhang, Liangqing Wu, Changlong Sun et al.
Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks
Shoujin Wang, Liang Hu, Yan Wang et al.
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach
Junshuang Wu, Richong Zhang, Yongyi Mao et al.
Modeling Source Syntax and Semantics for Neural AMR Parsing
DongLai Ge, Junhui Li, Muhua Zhu et al.
Monitoring of a Dynamic System Based on Autoencoders
Aomar Osmani, Massinissa Hamidi, Salah Bouhouche
Monte Carlo Tree Search for Policy Optimization
Xiaobai Ma, Katherine Driggs-Campbell, Zongzhang Zhang et al.