Papers
8,340 papers found
LSDS++ : Dual Sampling for Accelerated k-means++
Chenglin Fan, Ping Li, Xiaoyun Li
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
Jennifer J. Sun, Markus Marks, Andrew Wesley Ulmer et al.
Machine Learning Force Fields with Data Cost Aware Training
Alexander Bukharin, Tianyi Liu, Shengjie Wang et al.
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action
Geonho Hwang, Jaewoong Choi, Hyunsoo Cho et al.
Magneto: A Foundation Transformer
Hongyu Wang, Shuming Ma, Shaohan Huang et al.
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
Anqi Li, Byron Boots, Ching-An Cheng
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
Rongjie Huang, Jiawei Huang, Dongchao Yang et al.
MANSA: Learning Fast and Slow in Multi-Agent Systems
David Henry Mguni, Haojun Chen, Taher Jafferjee et al.
Margin-based Neural Network Watermarking
Byungjoo Kim, Suyoung Lee, Seanie Lee et al.
Margin-based sampling in high dimensions: When being active is less efficient than staying passive
Alexandru Tifrea, Jacob Clarysse, Fanny Yang
Markovian Gaussian Process Variational Autoencoders
Harrison Zhu, Carles Balsells-Rodas, Yingzhen Li
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
Insung Kong, Dongyoon Yang, Jongjin Lee et al.
Masked Trajectory Models for Prediction, Representation, and Control
Philipp Wu, Arjun Majumdar, Kevin Stone et al.
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning
Zhongzhi Yu, Yang Zhang, Kaizhi Qian et al.
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen et al.
Matrix Estimation for Individual Fairness
Cindy Zhang, Sarah Huiyi Cen, Devavrat Shah
Maximal Initial Learning Rates in Deep ReLU Networks
Gaurav Iyer, Boris Hanin, David Rolnick
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
Chunlin Sun, Shang Liu, Xiaocheng Li
Measuring the Impact of Programming Language Distribution
Gabriel Orlanski, Kefan Xiao, Xavier Garcia et al.
Mechanistic Mode Connectivity
Ekdeep Singh Lubana, Eric J Bigelow, Robert P. Dick et al.
Memory-Based Dual Gaussian Processes for Sequential Learning
Paul Edmund Chang, Prakhar Verma, S. T. John et al.
Memory-Based Meta-Learning on Non-Stationary Distributions
Tim Genewein, Gregoire Deletang, Anian Ruoss et al.
Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao, Jerone Andrews, Alice Xiang
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
Fei Ni, Jianye Hao, Yao Mu et al.