Papers
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text
Wanrong Zhu, Jack Hessel, Anas Awadalla et al.
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
Emma Chen, Aman Kansal, Julie Chen et al.
Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice
Aiwen Xu, Yuchen Hou, Cristopher Niell et al.
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
Guanren Qiao, Guiliang Liu, Pascal Poupart et al.
Multi-modal Queried Object Detection in the Wild
Yifan Xu, Mengdan Zhang, Chaoyou Fu et al.
MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks
Vinitra Swamy, Malika Satayeva, Jibril Frej et al.
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions
Kai Tan, Pierre C Bellec
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems
Zhendong Chu, Nan Wang, Hongning Wang
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization
Alex Foo, Wynne Hsu, Mong Li Lee
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Chanwoo Park, Kaiqing Zhang, Asuman Ozdaglar
Multiplication-Free Transformer Training via Piecewise Affine Operations
Atli Kosson, Martin Jaggi
Multiply Robust Federated Estimation of Targeted Average Treatment Effects
Larry Han, Zhu Shen, Jose Zubizarreta
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
Haoran Chen, Xintong Han, Zuxuan Wu et al.
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion
Hyuna Cho, Minjae Jeong, Sooyeon Jeon et al.
Multi-scale Diffusion Denoised Smoothing
Jongheon Jeong, Jinwoo Shin
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models
Lucas N. Alegre, Ana Bazzan, Ann Nowe et al.
Multi-Swap k-Means++
Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi et al.
Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum
Yijian Qin, Xin Wang, Ziwei Zhang et al.
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi et al.
Multi-task learning with summary statistics
Parker Knight, Rui Duan
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna et al.
Multi Time Scale World Models
Vaisakh Shaj Kumar, SALEH GHOLAM ZADEH, Ozan Demir et al.
MultiVENT: Multilingual Videos of Events and Aligned Natural Text
Kate Sanders, David Etter, Reno Kriz et al.
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
Tianyu Liu, Yuge Wang, Rex Ying et al.
Mutual-Information Regularized Multi-Agent Policy Iteration
Wang, Deheng Ye, Zongqing Lu