Papers
Maximum Class Separation as Inductive Bias in One Matrix
Tejaswi Kasarla, Gertjan Burghouts, Max van Spengler et al.
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks
Indradyumna Roy, Soumen Chakrabarti, Abir De
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Siliang Zeng, Chenliang Li, Alfredo Garcia et al.
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model
Dongjun Kim, Byeonghu Na, Se Jung Kwon et al.
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
Takumi Tanabe, Rei Sato, Kazuto Fukuchi et al.
MBW: Multi-view Bootstrapping in the Wild
Mosam Dabhi, Chaoyang Wang, Tim Clifford et al.
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
Jinyoung Choi, Bohyung Han
MCMAE: Masked Convolution Meets Masked Autoencoders
Peng Gao, Teli Ma, Hongsheng Li et al.
MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
Yihan Zhang, Nir Weinberger
Mean Estimation with User-level Privacy under Data Heterogeneity
Rachel Cummings, Vitaly Feldman, Audra McMillan et al.
Measures of Information Reflect Memorization Patterns
Rachit Bansal, Danish Pruthi, Yonatan Belinkov
Measuring and Reducing Model Update Regression in Structured Prediction for NLP
Deng Cai, Elman Mansimov, Yi-An Lai et al.
Measuring Data Reconstruction Defenses in Collaborative Inference Systems
Mengda Yang, Ziang Li, Juan Wang et al.
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization
Simone Bombari, Mohammad Hossein Amani, Marco Mondelli
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala, Aram Markosyan, Luke Zettlemoyer et al.
Memory Efficient Continual Learning with Transformers
Beyza Ermis, Giovanni Zappella, Martin Wistuba et al.
Memory safe computations with XLA compiler
Artem Artemev, Yuze An, Tilman Roeder et al.
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang, Sergey Levine, Chelsea Finn
Merging Models with Fisher-Weighted Averaging
Michael S Matena, Colin A Raffel
Mesoscopic modeling of hidden spiking neurons
Shuqi Wang, Valentin Schmutz, Guillaume Bellec et al.
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera et al.
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
Xiang Huang, Zhanhong Ye, Hongsheng Liu et al.
Meta-Complementing the Semantics of Short Texts in Neural Topic Models
Delvin Ce Zhang, Hady Lauw
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong, Zhixiang Chi, Li Gu et al.