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One-shot Learning with Memory-Augmented Neural Networks, , , , and . CoRR, (2016)Data Distributional Properties Drive Emergent In-Context Learning in Transformers., , , , , , , and . NeurIPS, (2022)Meta-Learning with Memory-Augmented Neural Networks., , , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1842-1850. JMLR.org, (2016)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). CoRR, (2022)Automated curriculum generation through setter-solver interactions., , , , , and . ICLR, OpenReview.net, (2020)Relational inductive biases, deep learning, and graph networks, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:1806.01261, (2018)Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures., , , and . CoRR, (2020)Mixture-of-Depths: Dynamically allocating compute in transformer-based language models., , , , , and . CoRR, (2024)A data-driven approach for learning to control computers., , , , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 9466-9482. PMLR, (2022)Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2940-2949. PMLR, (2017)