Papers
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
Hao Xue, Flora Salim, Yongli Ren et al.
Modality-Agnostic Topology Aware Localization
Farhad Ghazvinian Zanjani, Ilia Karmanov, Hanno Ackermann et al.
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang, Dayan Guan, Aoran Xiao et al.
Model-Based Domain Generalization
Alexander Robey, George J. Pappas, Hamed Hassani
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
Hung Le, Thommen Karimpanal George, Majid Abdolshah et al.
Model-Based Reinforcement Learning via Imagination with Derived Memory
Yao Mu, Yuzheng Zhuang, Bin Wang et al.
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Yushi Bai, Zhitao Ying, Hongyu Ren et al.
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
Antoine Bodin, Nicolas Macris
Model Selection for Bayesian Autoencoders
Ba-Hien Tran, Simone Rossi, Dimitrios Milios et al.
Modified Frank Wolfe in Probability Space
Carson Kent, Jiajin Li, Jose Blanchet et al.
Modular Gaussian Processes for Transfer Learning
Pablo Moreno-Muñoz, Antonio Artes, Mauricio Álvarez
MOMA: Multi-Object Multi-Actor Activity Parsing
Zelun Luo, Wanze Xie, Siddharth Kapoor et al.
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods
Juntang Zhuang, Yifan Ding, Tommy Tang et al.
Monte Carlo Tree Search With Iteratively Refining State Abstractions
Samuel Sokota, Caleb Y Ho, Zaheen Ahmad et al.
Morié Attack (MA): A New Potential Risk of Screen Photos
Dantong Niu, Ruohao Guo, Yisen Wang
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Gongfan Fang, Yifan Bao, Jie Song et al.
Moser Flow: Divergence-based Generative Modeling on Manifolds
Noam Rozen, Aditya Grover, Maximilian Nickel et al.
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
Max Ryabinin, Eduard Gorbunov, Vsevolod Plokhotnyuk et al.
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
ZAIXI ZHANG, Qi Liu, Hao Wang et al.
MST: Masked Self-Supervised Transformer for Visual Representation
Zhaowen Li, Zhiyang Chen, Fan Yang et al.
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
Jianhong Wang, Wangkun Xu, Yunjie Gu et al.
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Yiheng Lin, Guannan Qu, Longbo Huang et al.
Multi-armed Bandit Requiring Monotone Arm Sequences
Ningyuan Chen
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization
Arnab Maiti, Vishakha Patil, Arindam Khan
Multiclass Boosting and the Cost of Weak Learning
Nataly Brukhim, Elad Hazan, Shay Moran et al.