Papers
Matching a Desired Causal State via Shift Interventions
Jiaqi Zhang, Chandler Squires, Caroline Uhler
Matrix encoding networks for neural combinatorial optimization
Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon et al.
Matrix factorisation and the interpretation of geodesic distance
Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy
MAU: A Motion-Aware Unit for Video Prediction and Beyond
Zheng Chang, Xinfeng Zhang, Shanshe Wang et al.
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers et al.
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song, Conor Durkan, Iain Murray et al.
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
Tomas Geffner, Justin Domke
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen et al.
Measuring Generalization with Optimal Transport
Ching-Yao Chuang, Youssef Mroueh, Kristjan Greenewald et al.
Medical Dead-ends and Learning to Identify High-Risk States and Treatments
Mehdi Fatemi, Taylor W Killian, Jayakumar Subramanian et al.
Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering
Nimita Shinde, Vishnu Narayanan, James Saunderson
Memory Efficient Meta-Learning with Large Images
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola et al.
Memory-efficient Patch-based Inference for Tiny Deep Learning
Ji Lin, Wei-Ming Chen, Han Cai et al.
MERLOT: Multimodal Neural Script Knowledge Models
Rowan Zellers, Ximing Lu, Jack Hessel et al.
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan, Xiaolong Ma, Wei Niu et al.
Meta-Adaptive Nonlinear Control: Theory and Algorithms
Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell et al.
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
Shaofei Wang, Marko Mihajlovic, Qianli Ma et al.
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Runzhe Wan, Lin Ge, Rui Song
Meta Internal Learning
Raphael Bensadoun, Shir Gur, Tomer Galanti et al.
Meta Learning Backpropagation And Improving It
Louis Kirsch, Jürgen Schmidhuber
Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Meta-Learning Reliable Priors in the Function Space
Jonas Rothfuss, Dominique Heyn, jinfan Chen et al.
Meta-Learning Sparse Implicit Neural Representations
Jaeho Lee, Jihoon Tack, Namhoon Lee et al.
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
Maksym Yatsura, Jan Metzen, Matthias Hein
Meta-learning to Improve Pre-training
Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith et al.