Papers
Maximin Fairness with Mixed Divisible and Indivisible Goods
Xiaohui Bei, Shengxin Liu, Xinhang Lu et al.
Maximum Roaming Multi-Task Learning
Lucas Pascal, Pietro Michiardi, Xavier Bost et al.
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
Shangtong Zhang, Bo Liu, Shimon Whiteson
Measuring Dependence with Matrix-based Entropy Functional
Shujian Yu, Francesco Alesiani, Xi Yu et al.
MeInGame: Create a Game Character Face from a Single Portrait
Jiangke Lin, Yi Yuan, Zhengxia Zou
MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification
Te-Lin Wu, Shikhar Singh, Sayan Paul et al.
Melodic Phrase Attention Network for Symbolic Data-based Music Genre Classification (Student Abstract)
Li Li, Rui Zhang, Zhenyu Wang
Membership Privacy for Machine Learning Models Through Knowledge Transfer
Virat Shejwalkar, Amir Houmansadr
Memory-Augmented Image Captioning
Zhengcong Fei
Memory-Gated Recurrent Networks
Yaquan Zhang, Qi Wu, Nanbo Peng et al.
Mental Actions and Explainability in Kripkean Semantics: What Else do I Know? (Student Abstract)
Shikha Singh, Deepak Khemani
Mercer Features for Efficient Combinatorial Bayesian Optimization
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
Merging Statistical Feature via Adaptive Gate for Improved Text Classification
Xianming Li, Zongxi Li, Haoran Xie et al.
MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces
Linhai Zhang, Deyu Zhou, Yulan He et al.
MetaAugment: Sample-Aware Data Augmentation Policy Learning
Fengwei Zhou, Jiawei Li, Chuanlong Xie et al.
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
Runzhe Zhan, Xuebo Liu, Derek F. Wong et al.
Meta Label Correction for Noisy Label Learning
Guoqing Zheng, Ahmed Hassan Awadallah, Susan Dumais
Meta-Learning Effective Exploration Strategies for Contextual Bandits
Amr Sharaf, Hal Daumé III
Meta Learning for Causal Direction
Jean-François Ton, Dino Sejdinovic, Kenji Fukumizu
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados et al.
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Yi-Syuan Chen, Hong-Han Shuai
Metrics and Continuity in Reinforcement Learning
Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
Yang Li, Yu Shen, Jiawei Jiang et al.