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A Modern Self-Referential Weight Matrix That Learns to Modify Itself.

, , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 9660-9677. PMLR, (2022)

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A Generalist Neural Algorithmic Learner., , , , , , , , , и 5 other автор(ы). LoG, том 198 из Proceedings of Machine Learning Research, стр. 2. PMLR, (2022)The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization., , и . ICLR, OpenReview.net, (2022)CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations., , и . EMNLP, стр. 9758-9767. Association for Computational Linguistics, (2022)The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers., , и . EMNLP (1), стр. 619-634. Association for Computational Linguistics, (2021)Going Beyond Linear Transformers with Recurrent Fast Weight Programmers., , , и . NeurIPS, стр. 7703-7717. (2021)Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks., , и . ICLR, OpenReview.net, (2021)Randomized Positional Encodings Boost Length Generalization of Transformers., , , , , , , и . ACL (2), стр. 1889-1903. Association for Computational Linguistics, (2023)Detecting Objects Thrown over Fence in Outdoor Scenes., , и . VISAPP (3), стр. 593-599. SciTePress, (2015)Topological Neural Discrete Representation Learning à la Kohonen., , и . CoRR, (2023)Approximating Two-Layer Feedforward Networks for Efficient Transformers., , и . EMNLP (Findings), стр. 674-692. Association for Computational Linguistics, (2023)