Papers
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
Multi-agent Online Scheduling: MMS Allocations for Indivisible Items
Shengwei Zhou, Rufan Bai, Xiaowei Wu
Multicalibration as Boosting for Regression
Ira Globus-Harris, Declan Harrison, Michael Kearns et al.
Multi-channel Autobidding with Budget and ROI Constraints
Yuan Deng, Negin Golrezaei, Patrick Jaillet et al.
Multi-class Graph Clustering via Approximated Effective $p$-Resistance
Shota Saito, Mark Herbster
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman et al.
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
David Venuto, Sherry Yang, Pieter Abbeel et al.
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
Christopher A. Choquette-Choo, Hugh Brendan Mcmahan, J Keith Rush et al.
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer et al.
Multi-Modal Classifiers for Open-Vocabulary Object Detection
Prannay Kaul, Weidi Xie, Andrew Zisserman