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Compressive Transformers for Long-Range Sequence Modelling., , , , and . ICLR, OpenReview.net, (2020)Top-KAST: Top-K Always Sparse Training., , , , and . CoRR, (2021)Stabilizing Transformers for Reinforcement Learning., , , , , , , , , and 3 other author(s). ICML, volume 119 of Proceedings of Machine Learning Research, page 7487-7498. PMLR, (2020)Do Transformers Need Deep Long-Range Memory?, and . ACL, page 7524-7529. Association for Computational Linguistics, (2020)Meta-Learning Neural Bloom Filters., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5271-5280. PMLR, (2019)Fast Parametric Learning with Activation Memorization., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4225-4234. PMLR, (2018)Training Compute-Optimal Large Language Models, , , , , , , , , and 12 other author(s). (2022)Improving language models by retrieving from trillions of tokens, , , , , , , , , and 18 other author(s). (2021)cite arxiv:2112.04426Comment: Fix incorrect reported numbers in Table 14.Improving Language Models by Retrieving from Trillions of Tokens., , , , , , , , , and 18 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 2206-2240. PMLR, (2022)Multiplicative Interactions and Where to Find Them., , , , , , , , and . ICLR, OpenReview.net, (2020)