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Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round.

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Low-Rank Projections of GCNs Laplacian., , и . CoRR, (2021)MetaREVEAL: RL-based Meta-learning from Learning Curves., , , и . IAL@PKDD/ECML, том 3079 из CEUR Workshop Proceedings, стр. 1-20. CEUR-WS.org, (2021)Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs., , , , и . ICML, OpenReview.net, (2024)Averaging log-likelihoods in direct alignment., , , , , , , , , и 1 other автор(ы). CoRR, (2024)Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion., , , , , , , , , и . CoRR, (2024)Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round., , , и . CoRR, (2022)Interferometric Graph Transform for Community Labeling., , , и . CoRR, (2021)Reinforcement learning for combinatorial optimization : leveraging uncertainty, structure and priors. (Apprentissage par renforcement pour l'optimisation combinatoire : exploiter l'incertitude, les structures et les connaissances a priori).. University of Lille, France, (2023)Meta-learning from Learning Curves: Challenge Design and Baseline Results., , , и . IJCNN, стр. 1-8. IEEE, (2022)There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning., , , , и . NeurIPS, стр. 1898-1911. (2021)