Mozer, Michael C.

13 publications

NeurIPS 2024 Reawakening Knowledge: Anticipatory Recovery from Catastrophic Interference via Structured Training Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren

AISTATS 2022 Mitigating Bias in Calibration Error Estimation Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer

ICML 2022 Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C Mozer

ICML 2021 Characterizing Structural Regularities of Labeled Data in Overparameterized Models Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C Mozer

ICML 2021 Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C Mozer

ICCV 2021 Von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott, Andrew C. Gallagher, Michael C. Mozer

ICLR 2020 Identity Crisis: Memorization and Generalization Under Extreme Overparameterization Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer

CVPR 2020 Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget Guy Davidson, Michael C. Mozer

ICMLW 2020 Wandering Within a World: Online Contextualized Few-Shot Learning Mengye Ren, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel

ICMLW 2019 Identity Crisis: Memorization and Generalization Under Extreme Overparameterization Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer

ICMLW 2019 Scaling Characteristics of Sequential Multitask Learning: Networks Naturally Learn to Learn Guy Davidson, Michael C. Mozer

NeCo 1992 Learning to Segment Images Using Dynamic Feature Binding Michael C. Mozer, Richard S. Zemel, Marlene Behrmann, Christopher K. I. Williams

NeCo 1990 Discovering the Structure of a Reactive Environment by Exploration Michael C. Mozer, Jonathan Bachrach