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Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts.

, , , , , and . CoRR, (2024)

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Learning Item Trees for Probabilistic Modelling of Implicit Feedback, and . CoRR, (2011)Exploiting Hierarchy for Learning and Transfer in KL-regularized RL., , , , , , , , and . CoRR, (2019)Progress & Compress: A scalable framework for continual learning., , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4535-4544. PMLR, (2018)Meta-Learning surrogate models for sequential decision making., , , , , , , and . CoRR, (2019)Top-down particle filtering for Bayesian decision trees., , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 280-288. JMLR.org, (2013)Mondrian Forests for Large-Scale Regression when Uncertainty Matters., , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1478-1487. JMLR.org, (2016)Hijacking Malaria Simulators with Probabilistic Programming., , , , , and . CoRR, (2019)Disentangling Disentanglement in Variational Autoencoders., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4402-4412. PMLR, (2019)Attentive Neural Processes., , , , , , , and . ICLR (Poster), OpenReview.net, (2019)Information asymmetry in KL-regularized RL., , , , , , , , , and . ICLR (Poster), OpenReview.net, (2019)