Papers
11,015 papers found
ManyDG: Many-domain Generalization for Healthcare Applications
Chaoqi Yang, M Brandon Westover, Jimeng Sun
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Bencheng Liao, Shaoyu Chen, Xinggang Wang et al.
Markup-to-Image Diffusion Models with Scheduled Sampling
Yuntian Deng, Noriyuki Kojima, Alexander M Rush
MARS: Meta-learning as Score Matching in the Function Space
Krunoslav Lehman Pavasovic, Jonas Rothfuss, Andreas Krause
Martingale Posterior Neural Processes
Hyungi Lee, Eunggu Yun, Giung Nam et al.
Masked Distillation with Receptive Tokens
Tao Huang, Yuan Zhang, Shan You et al.
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Jiahao Xie, Wei Li, Xiaohang Zhan et al.
Masked Image Modeling with Denoising Contrast
Kun Yi, Yixiao Ge, Xiaotong Li et al.
Masked Unsupervised Self-training for Label-free Image Classification
Junnan Li, Silvio Savarese, Steven Hoi
Masked Vision and Language Modeling for Multi-modal Representation Learning
Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran et al.
MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion
Chao Liao, Jianchao Tan, Jiyuan Jia et al.
MaskViT: Masked Visual Pre-Training for Video Prediction
Agrim Gupta, Stephen Tian, Yunzhi Zhang et al.
Mass-Editing Memory in a Transformer
Kevin Meng, Arnab Sen Sharma, Alex J Andonian et al.
Massively Scaling Heteroscedastic Classifiers
Mark Collier, Rodolphe Jenatton, Basil Mustafa et al.
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
Anton Bakhtin, David J Wu, Adam Lerer et al.
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
Chen Huang, Hanlin Goh, Jiatao Gu et al.
Matching receptor to odorant with protein language and graph neural networks
Matej Hladiš, Maxence Lalis, Sebastien Fiorucci et al.
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
Yucheng Lu, Conglong Li, Minjia Zhang et al.
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
Junyan Wang, Zhenhong Sun, Yichen Qian et al.
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
Margalit Glasgow, Colin Wei, Mary Wootters et al.
MCAL: Minimum Cost Human-Machine Active Labeling
Hang Qiu, Krishna Chintalapudi, Ramesh Govindan
Measure the Predictive Heterogeneity
Jiashuo Liu, Jiayun Wu, Renjie Pi et al.
Measuring axiomatic soundness of counterfactual image models
Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski et al.
Measuring Forgetting of Memorized Training Examples
Matthew Jagielski, Om Thakkar, Florian Tramer et al.
MECTA: Memory-Economic Continual Test-Time Model Adaptation
Junyuan Hong, Lingjuan Lyu, Jiayu Zhou et al.