Papers
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
Lukas Köhs, Bastian Alt, Heinz Koeppl
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
Jeewon Jeon, Woojun Kim, Whiyoung Jung et al.
Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
Sebastian Lee, Stefano Sarao Mannelli, Claudia Clopath et al.
Massively Parallel $k$-Means Clustering for Perturbation Resilient Instances
Vincent Cohen-Addad, Vahab Mirrokni, Peilin Zhong
Matching Learned Causal Effects of Neural Networks with Domain Priors
Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramanian et al.
Matching Normalizing Flows and Probability Paths on Manifolds
Heli Ben-Hamu, Samuel Cohen, Joey Bose et al.
Matching Structure for Dual Learning
Hao Fei, Shengqiong Wu, Yafeng Ren et al.
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
Cheng Lu, Kaiwen Zheng, Fan Bao et al.
Meaningfully debugging model mistakes using conceptual counterfactual explanations
Abubakar Abid, Mert Yuksekgonul, James Zou
Measure Estimation in the Barycentric Coding Model
Matthew Werenski, Ruijie Jiang, Abiy Tasissa et al.
Measuring dissimilarity with diffeomorphism invariance
Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj et al.
Measuring Representational Robustness of Neural Networks Through Shared Invariances
Vedant Nanda, Till Speicher, Camila Kolling et al.
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
Jinkun Lin, Anqi Zhang, Mathias Lécuyer et al.
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
Jintai Chen, Kuanlun Liao, Kun Wei et al.
Memory-Based Model Editing at Scale
Eric Mitchell, Charles Lin, Antoine Bosselut et al.
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution
Kailu Wu, Chung-Kuei Lee, Kaisheng Ma
Meta-Learning Hypothesis Spaces for Sequential Decision-making
Parnian Kassraie, Jonas Rothfuss, Andreas Krause
MetAug: Contrastive Learning via Meta Feature Augmentation
Jiangmeng Li, Wenwen Qiang, Changwen Zheng et al.
Metric-Fair Active Learning
Jie Shen, Nan Cui, Jing Wang
Metric-Fair Classifier Derandomization
Jimmy Wu, Yatong Chen, Yang Liu
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
Verónica Álvarez, Santiago Mazuelas, Jose A Lozano
Minimax M-estimation under Adversarial Contamination
Sujay Bhatt, Guanhua Fang, Ping Li et al.
Minimizing Control for Credit Assignment with Strong Feedback
Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera et al.
Minimum Cost Intervention Design for Causal Effect Identification
Sina Akbari, Jalal Etesami, Negar Kiyavash
Mirror Learning: A Unifying Framework of Policy Optimisation
Jakub Grudzien, Christian A Schroeder De Witt, Jakob Foerster