Papers
8,340 papers found
Model-Aware Contrastive Learning: Towards Escaping the Dilemmas
Zizheng Huang, Haoxing Chen, Ziqi Wen et al.
Model-based Offline Reinforcement Learning with Count-based Conservatism
Byeongchan Kim, Min-Hwan Oh
Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators
Paavo Parmas, Takuma Seno, Yuma Aoki
Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning
Yihao Sun, Jiaji Zhang, Chengxing Jia et al.
ModelDiff: A Framework for Comparing Learning Algorithms
Harshay Shah, Sung Min Park, Andrew Ilyas et al.
Model-Free Robust Average-Reward Reinforcement Learning
Yue Wang, Alvaro Velasquez, George K. Atia et al.
Modeling Dynamic Environments with Scene Graph Memory
Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal et al.
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
Marin Biloš, Kashif Rasul, Anderson Schneider et al.
MODeL: Memory Optimizations for Deep Learning
Benoit Steiner, Mostafa Elhoushi, Jacob Kahn et al.
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Alexandre Rame, Kartik Ahuja, Jianyu Zhang et al.
Model Transferability with Responsive Decision Subjects
Yatong Chen, Zeyu Tang, Kun Zhang et al.
Moderately Distributional Exploration for Domain Generalization
Rui Dai, Yonggang Zhang, Zhen Fang et al.
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
Xingang Peng, Jiaqi Guan, Qiang Liu et al.
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions
Tao Sun, Qingsong Wang, Dongsheng Li et al.
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
Marco Cuturi, Michal Klein, Pierre Ablin
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
Mingxuan Yi, Zhanxing Zhu, Song Liu
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses
Yang Fu, Ishan Misra, Xiaolong Wang
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
Liam Hodgkinson, Chris Van Der Heide, Fred Roosta et al.
Monotonic Location Attention for Length Generalization
Jishnu Ray Chowdhury, Cornelia Caragea
Motion Question Answering via Modular Motion Programs
Mark Endo, Joy Hsu, Jiaman Li et al.
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Haiyang Xu, Qinghao Ye, Ming Yan et al.
Mu$^2$SLAM: Multitask, Multilingual Speech and Language Models
Yong Cheng, Yu Zhang, Melvin Johnson et al.
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
Jiachen Yao, Chang Su, Zhongkai Hao et al.
Multi-Agent Best Arm Identification with Private Communications
Alexandre Rio, Merwan Barlier, Igor Colin et al.
Multi-Agent Learning from Learners
Mine Melodi Caliskan, Francesco Chini, Setareh Maghsudi