Papers
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
Shibo Jie, Yehui Tang, Ning Ding et al.
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
Anke Tang, Li Shen, Yong Luo et al.
Meta Evidential Transformer for Few-Shot Open-Set Recognition
Hitesh Sapkota, Krishna Prasad Neupane, Qi Yu
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
Jonas Schweisthal, Dennis Frauen, Mihaela Van Der Schaar et al.
Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning
Tengye Xu, Zihao Li, Qinyuan Ren
MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series
Jufang Duan, Wei Zheng, Yangzhou Du et al.
MFTN: A Multi-scale Feature Transfer Network Based on IMatchFormer for Hyperspectral Image Super-Resolution
Shuying Huang, Mingyang Ren, Yong Yang et al.
MGit: A Model Versioning and Management System
Wei Hao, Daniel Mendoza, Rafael Mendes et al.
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Luyuan Xie, Manqing Lin, Tianyu Luan et al.
MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness
Yahong Zhang, Chenchen Fan, Donghui Chen et al.
Mimicking Better by Matching the Approximate Action Distribution
Joao Candido Ramos, Lionel Blondé, Naoya Takeishi et al.
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
Paul Steven Scotti, Mihir Tripathy, Cesar Torrico et al.
Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary
Shuo Yang, Zhe Cao, Sheng Guo et al.
Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value
Young Wu, Jeremy Mcmahan, Yiding Chen et al.
Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
Kaihong Zhang, Heqi Yin, Feng Liang et al.
Minimizing $f$-Divergences by Interpolating Velocity Fields
Song Liu, Jiahao Yu, Jack Simons et al.
Minimum Norm Interpolation Meets The Local Theory of Banach Spaces
Gil Kur, Pedro Abdalla, Pierre Bizeul et al.
Minimum-Norm Interpolation Under Covariate Shift
Neil Rohit Mallinar, Austin Zane, Spencer Frei et al.
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization
Yichen Wu, Hong Wang, Peilin Zhao et al.
Mitigating Label Noise on Graphs via Topological Sample Selection
Yuhao Wu, Jiangchao Yao, Xiaobo Xia et al.
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
Moonjeong Park, Jaeseung Heo, Dongwoo Kim
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Zhenlong Liu, Lei Feng, Huiping Zhuang et al.
Mixtures of Experts Unlock Parameter Scaling for Deep RL
Johan Samir Obando Ceron, Ghada Sokar, Timon Willi et al.
MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
Qian Huang, Jian Vora, Percy Liang et al.
MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation
Bowen Tao, Xin-Chun Li, De-Chuan Zhan