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Rethinking the Hyperparameters for Fine-tuning., , , , , , and . ICLR, OpenReview.net, (2020)An Information-Geometric Distance on the Space of Tasks., and . CoRR, (2020)Time as a supervisor: temporal regularity and auditory object learning., , , , , and . Frontiers Comput. Neurosci., (February 2023)Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity., , , and . ECML/PKDD (3), volume 14171 of Lecture Notes in Computer Science, page 343-359. Springer, (2023)Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract)., and . AAAI, page 12931-12932. AAAI Press, (2022)Prospective Learning: Principled Extrapolation to the Future., , , , , , , , , and 32 other author(s). CoLLAs, volume 232 of Proceedings of Machine Learning Research, page 347-357. PMLR, (2023)A Picture of the Space of Typical Learnable Tasks., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 28680-28700. PMLR, (2023)Deep Reference Priors: What is the best way to pretrain a model?, , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7036-7051. PMLR, (2022)FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Registration., , and . CoRR, (2024)Scalable Reinforcement Learning Policies for Multi-Agent Control., , , and . IROS, page 4785-4791. IEEE, (2021)