Papers
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.
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
Max Biggs, Wei Sun, Markus Ettl
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
David A Bruns-Smith
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
Zihan Zhang, Yuan Zhou, Xiangyang Ji
Model Fusion for Personalized Learning
Thanh Chi Lam, Nghia Hoang, Bryan Kian Hsiang Low et al.
Modeling Hierarchical Structures with Continuous Recursive Neural Networks
Jishnu Ray Chowdhury, Cornelia Caragea
Modelling Behavioural Diversity for Learning in Open-Ended Games
Nicolas Perez-Nieves, Yaodong Yang, Oliver Slumbers et al.
Model Performance Scaling with Multiple Data Sources
Tatsunori Hashimoto
Model-Targeted Poisoning Attacks with Provable Convergence
Fnu Suya, Saeed Mahloujifar, Anshuman Suri et al.
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
Michael Chang, Sid Kaushik, Sergey Levine et al.
Momentum Residual Neural Networks
Michael E. Sander, Pierre Ablin, Mathieu Blondel et al.