Papers
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection
Tue Le, Tuan Nguyen, Trung Le et al.
Maximin-Aware Allocations of Indivisible Goods
Hau Chan, Jing Chen, Bo Li et al.
Maximum a posteriori Speech Enhancement Based on Double Spectrum
Pejman Mowlaee, Daniel Scheran, Johannes Stahl et al.
Maximum Entropy Distributions: Bit Complexity and Stability
Damian Straszak, Nisheeth K. Vishnoi
Maximum Entropy Monte-Carlo Planning
Chenjun Xiao, Ruitong Huang, Jincheng Mei et al.
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
Rui Zhao, Xudong Sun, Volker Tresp
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards
Falcon Dai, Matthew Walter
Maximum Likelihood Estimation for Learning Populations of Parameters
Ramya Korlakai Vinayak, Weihao Kong, Gregory Valiant et al.
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling
Omer Weissbrod, Shachar Kaufman, David Golan et al.
Maximum-Margin Hamming Hashing
Rong Kang, Yue Cao, Mingsheng Long et al.
Maximum Mean Discrepancy Gradient Flow
Michael Arbel, Anna Korba, Adil SALIM et al.
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
Peng Cao*, Yilun Xu*, Yuqing Kong et al.
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
Lile Cai, Bin Zhao, Zhe Wang et al.
Max-Sliced Wasserstein Distance and Its Use for GANs
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun et al.
Max-value Entropy Search for Multi-Objective Bayesian Optimization
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Mazajak: An Online Arabic Sentiment Analyser
Ibrahim Abu Farha, Walid Magdy
MBS: Macroblock Scaling for CNN Model Reduction
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
Rui (Ray) Zhang, Xingwu Liu, Yuyi Wang et al.
MCE 2018: The 1st Multi-Target Speaker Detection and Identification Challenge Evaluation
Suwon Shon, Najim Dehak, Douglas Reynolds et al.
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Xue Bin Peng, Michael Chang, Grace Zhang et al.
mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers
Xavier Gitiaux, Huzefa Rangwala
MEAL: Multi-Model Ensemble via Adversarial Learning
Zhiqiang Shen, Zhankui He, Xiangyang Xue
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
Song Mei, Theodor Misiakiewicz, Andrea Montanari
Meaningful Explanations of Black Box AI Decision Systems
Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti et al.