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Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs.

, , , , , and . J. Mach. Learn. Res., (2022)

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Serial Order: A Parallel, Distributed Processing Approach. Advances in Connectionist Theory: Speech, Erlbaum, Hillsdale, NJ, (1989)A Competitive Modular Connectionist Architecture, and . Advances in Neural Information Processing Systems 3, San Francisco, CA: Morgan Kaufmann, (1991)Supervised Learning and Systems with Excess Degrees of Freedom. 88-27. Department of Computer and Information Science, University of Massachusetts, Amherst, (1988)Learning to Control an Unstable System with Forward Modeling, and . Advances in Neural Information Processing Systems 8, Cambridge, MA: MIT Press, (1996)A Linearly-Convergent Stochastic L-BFGS Algorithm., , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 249-258. JMLR.org, (2016)Accelerated Primal-Dual Coordinate Descent for Computational Optimal Transport., , and . CoRR, (2019)Decoding From Pooled Data: Phase Transitions of Message Passing., , , , and . IEEE Trans. Inf. Theory, 65 (1): 572-585 (2019)Bayesian parameter estimation via variational methods., and . Stat. Comput., 10 (1): 25-37 (2000)Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis., , , , and . CoRR, (2020)Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast., , , , and . Pacific Symposium on Biocomputing, page 300-311. World Scientific, (2004)