Papers
MARINA: Faster Non-Convex Distributed Learning with Compression
Eduard Gorbunov, Konstantin P. Burlachenko, Zhize Li et al.
Markpainting: Adversarial Machine Learning meets Inpainting
David Khachaturov, Ilia Shumailov, Yiren Zhao et al.
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin et al.
Matrix Completion with Model-free Weighting
Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao et al.
Matrix Sketching for Secure Collaborative Machine Learning
Mengjiao Zhang, Shusen Wang
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
Ruize Gao, Feng Liu, Jingfeng Zhang et al.
MC-LSTM: Mass-Conserving LSTM
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz et al.
Measuring Robustness in Deep Learning Based Compressive Sensing
Mohammad Zalbagi Darestani, Akshay S Chaudhari, Reinhard Heckel
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
Ikko Yamane, Junya Honda, Florian Yger et al.
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
Aleksei Petrenko, Erik Wijmans, Brennan Shacklett et al.
Memory Efficient Online Meta Learning
Durmus Alp Emre Acar, Ruizhao Zhu, Venkatesh Saligrama
Memory-Efficient Pipeline-Parallel DNN Training
Deepak Narayanan, Amar Phanishayee, Kaiyu Shi et al.
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
Taehyeong Kim, Injune Hwang, Hyundo Lee et al.
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Xingchen Ma, Matthew B. Blaschko
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
Jin Zhang, Jianhao Wang, Hao Hu et al.
Meta-Learning Bidirectional Update Rules
Mark Sandler, Max Vladymyrov, Andrey Zhmoginov et al.
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
Qian Zhang, Yilin Zheng, Jean Honorio
Meta-learning Hyperparameter Performance Prediction with Neural Processes
Ying Wei, Peilin Zhao, Junzhou Huang
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
Dongchan Min, Dong Bok Lee, Eunho Yang et al.
Meta-Thompson Sampling
Branislav Kveton, Mikhail Konobeev, Manzil Zaheer et al.
Mind the Box: $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers
Francesco Croce, Matthias Hein
Mixed Cross Entropy Loss for Neural Machine Translation
Haoran Li, Wei Lu
Mixed Nash Equilibria in the Adversarial Examples Game
Laurent Meunier, Meyer Scetbon, Rafael B Pinot et al.
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
Ying Fan, Yifei Ming
Model-Based Reinforcement Learning via Latent-Space Collocation
Oleh Rybkin, Chuning Zhu, Anusha Nagabandi et al.