Papers
8,340 papers found
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
Multi-Objective GFlowNets
Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-Garcı́a et al.
Multi-Objective Population Based Training
Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten et al.
Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation
Ronghao Dang, Lu Chen, Liuyi Wang et al.
Multiplier Bootstrap-based Exploration
Runzhe Wan, Haoyu Wei, Branislav Kveton et al.
Multiply Robust Off-policy Evaluation and Learning under Truncation by Death
Jianing Chu, Shu Yang, Wenbin Lu
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
Sihui Dai, Saeed Mahloujifar, Chong Xiang et al.
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich et al.
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj et al.
Multi-Task Differential Privacy Under Distribution Skew
Walid Krichene, Prateek Jain, Shuang Song et al.
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Jiayu Chen, Dipesh Tamboli, Tian Lan et al.
Multi-Task Off-Policy Learning from Bandit Feedback
Joey Hong, Branislav Kveton, Manzil Zaheer et al.
Multi-task Representation Learning for Pure Exploration in Linear Bandits
Yihan Du, Longbo Huang, Wen Sun
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
Naresh Kumar Gurulingan, Bahram Zonooz, Elahe Arani
Multi-User Reinforcement Learning with Low Rank Rewards
Dheeraj Mysore Nagaraj, Suhas S Kowshik, Naman Agarwal et al.
Multi-View Masked World Models for Visual Robotic Manipulation
Younggyo Seo, Junsu Kim, Stephen James et al.