Papers
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates
Mohammad Mozaffari, Sikan Li, Zhao Zhang et al.
MLFMF: Data Sets for Machine Learning for Mathematical Formalization
Andrej Bauer, Matej Petković, Ljupco Todorovski
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
Felix Biggs, Antonin Schrab, Arthur Gretton
MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
Jianfei Yang, He Huang, Yunjiao Zhou et al.
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability
Fabien Casenave, Brian Staber, Xavier Roynard
Mnemosyne: Learning to Train Transformers with Transformers
Deepali Jain, Krzysztof M Choromanski, Kumar Avinava Dubey et al.
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM
Ziba Parsons, Fei Dou, Houyi Du et al.
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks
Allen Nie, Yuhui Zhang, Atharva Shailesh Amdekar et al.
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
Huiwon Jang, Jihoon Tack, Daewon Choi et al.
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser
Yung-Hsuan Lai, Yen-Chun Chen, Frank Wang
Mode Connectivity in Auction Design
Christoph Hertrich, Yixin Tao, László A. Végh
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
Van Cuong Pham, Cuong Nguyen, Trung Le et al.
Model-Based Control with Sparse Neural Dynamics
Ziang Liu, Genggeng Zhou, Jeff He et al.
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
Shenao Zhang, Boyi Liu, Zhaoran Wang et al.
Model-enhanced Vector Index
Hailin Zhang, Yujing Wang, Qi Chen et al.
Model-Free Active Exploration in Reinforcement Learning
Alessio Russo, Alexandre Proutiere
Model-free Posterior Sampling via Learning Rate Randomization
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello et al.
Model-Free Reinforcement Learning with the Decision-Estimation Coefficient
Dylan J Foster, Noah Golowich, Jian Qian et al.
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
Jung Yeon Park, Lawson Wong, Robin Walters
Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network
Zitang Sun, Yen-Ju Chen, Yung-Hao Yang et al.
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
Michael Bereket, Theofanis Karaletsos
Model Shapley: Equitable Model Valuation with Black-box Access
Xinyi Xu, Thanh Lam, Chuan Sheng Foo et al.
Model Sparsity Can Simplify Machine Unlearning
Jinghan Jia, Jiancheng Liu, Parikshit Ram et al.
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding et al.
Modulated Neural ODEs
Ilze Amanda Auzina, Çağatay Yıldız, Sara Magliacane et al.