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Class-Incremental Learning With Generative Classifiers., , and . CVPR Workshops, page 3611-3620. Computer Vision Foundation / IEEE, (2021)Stimulus domain transfer in recurrent models for large scale cortical population prediction on video., , , , , , , , , and . NeurIPS, page 7199-7210. (2018)Deep convolutional models improve predictions of macaque V1 responses to natural images., , , , , , and . PLoS Comput. Biol., (2019)Flexible Few-Shot Learning with Contextual Similarity., , , , , , , and . CoRR, (2020)Learning From Brains How to Regularize Machines., , , , , , , , , and . CoRR, (2019)Improved Estimation and Interpretation of Correlations in Neural Circuits., , , , , and . PLoS Comput. Biol., (2015)Robust deep learning object recognition models rely on low frequency information in natural images., , , , , , , , and . PLoS Comput. Biol., (March 2023)Avalanche: An End-to-End Library for Continual Learning., , , , , , , , , and 18 other author(s). CVPR Workshops, page 3600-3610. Computer Vision Foundation / IEEE, (2021)Towards robust vision by multi-task learning on monkey visual cortex., , , , , , , and . NeurIPS, page 739-751. (2021)Three scenarios for continual learning., and . CoRR, (2019)