Papers
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
Yiru Shen, Chen Feng, Yaoqing Yang et al.
Mining Possessions: Existence, Type and Temporal Anchors
Dhivya Chinnappa, Eduardo Blanco
Mining Streaming and Temporal Data: from Representation to Knowledge
Xiangliang Zhang
Mirrored Langevin Dynamics
Ya-Ping Hsieh, Ali Kavis, Paul Rolland et al.
Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space
Tatsuya Yokota, Burak Erem, Seyhmus Guler et al.
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
Amirali Aghazadeh, Ryan Spring, Daniel Lejeune et al.
Mitigating Adversarial Effects Through Randomization
Cihang Xie, Jianyu Wang, Zhishuai Zhang et al.
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
Seth Neel, Aaron Roth
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference
Prachi Jain, Shikhar Murty, Mausam et al.
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network
Di Jin, Franck Dernoncourt, Elena Sergeeva et al.
MITRE at SemEval-2018 Task 11: Commonsense Reasoning without Commonsense Knowledge
Elizabeth Merkhofer, John Henderson, David Bloom et al.
Mittens: an Extension of GloVe for Learning Domain-Specialized Representations
Nicholas Dingwall, Christopher Potts
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation
Yaxing Wang, Joost van de Weijer, Luis Herranz
Mixed batches and symmetric discriminators for GAN training
Thomas LUCAS, Corentin Tallec, Yann Ollivier et al.
Mixed Causal Structure Discovery with Application to Prescriptive Pricing
Wei Wenjuan, Feng Lu, Liu Chunchen
Mixed Link Networks
Wenhai Wang, Xiang Li, Tong Lu et al.
Mixed Precision Training
Paulius Micikevicius, Sharan Narang, Jonah Alben et al.
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere et al.
MIXGAN: Learning Concepts from Different Domains for Mixture Generation
Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization
Ian En-Hsu Yen, Wei-Cheng Lee, Kai Zhong et al.
Mix & Match Agent Curricula for Reinforcement Learning
Wojciech Czarnecki, Siddhant Jayakumar, Max Jaderberg et al.
Mixture Matrix Completion
Daniel Pimentel-Alarcon
Mixture of GANs for Clustering
Yang Yu, Wen-Ji Zhou