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One-shot Learning with Memory-Augmented Neural Networks, , , , и . CoRR, (2016)Data Distributional Properties Drive Emergent In-Context Learning in Transformers., , , , , , , и . NeurIPS, (2022)Meta-Learning with Memory-Augmented Neural Networks., , , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 1842-1850. JMLR.org, (2016)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , и 440 other автор(ы). CoRR, (2022)Automated curriculum generation through setter-solver interactions., , , , , и . ICLR, OpenReview.net, (2020)Relational inductive biases, deep learning, and graph networks, , , , , , , , , и 1 other автор(ы). arXiv preprint arXiv:1806.01261, (2018)Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures., , , и . CoRR, (2020)Mixture-of-Depths: Dynamically allocating compute in transformer-based language models., , , , , и . CoRR, (2024)A data-driven approach for learning to control computers., , , , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 9466-9482. PMLR, (2022)Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette., , , , , и . CoRR, (2019)