Papers
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
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model
Jean-Rémy Conti, Nathan Noiry, Stephan Clemencon et al.
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
Adrian Javaloy, Maryam Meghdadi, Isabel Valera
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei, Renchunzi Xie, Hao Cheng et al.
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
Yu Huang, Junyang Lin, Chang Zhou et al.
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Xiao Zhou, Yong Lin, Renjie Pi et al.
Model-Free Opponent Shaping
Christopher Lu, Timon Willi, Christian A Schroeder De Witt et al.
Modeling Adversarial Noise for Adversarial Training
Dawei Zhou, Nannan Wang, Bo Han et al.
Modeling Irregular Time Series with Continuous Recurrent Units
Mona Schirmer, Mazin Eltayeb, Stefan Lessmann et al.
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
Athul Paul Jacob, David J Wu, Gabriele Farina et al.