Papers
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.
Modeling Structure with Undirected Neural Networks
Tsvetomila Mihaylova, Vlad Niculae, Andre Martins
Model Selection in Batch Policy Optimization
Jonathan Lee, George Tucker, Ofir Nachum et al.
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman, Gabriel Ilharco, Samir Ya Gadre et al.
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
Angelos Filos, Eszter Vértes, Zita Marinho et al.
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias
Yupu Lu, Shijie Lin, Guanqi Chen et al.
Modular Conformal Calibration
Charles Marx, Shengjia Zhao, Willie Neiswanger et al.
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
Zhaoning Yu, Hongyang Gao
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Tri Dao, Beidi Chen, Nimit S Sohoni et al.
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
Alexander Wei, Wei Hu, Jacob Steinhardt
Multiclass learning with margin: exponential rates with no bias-variance trade-off
Stefano Vigogna, Giacomo Meanti, Ernesto De Vito et al.
Multicoated Supermasks Enhance Hidden Networks
Yasuyuki Okoshi, Ángel López Garcı́a-Arias, Kazutoshi Hirose et al.
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
Yan Zeng, Xinsong Zhang, Hang Li
Multi-Level Branched Regularization for Federated Learning
Jinkyu Kim, Geeho Kim, Bohyung Han
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
Xuchuang Wang, Hong Xie, John C. S. Lui