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Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers.

, , , , , , , , , и . CoRR, (2023)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

Другие публикации лиц с тем же именем

Functional Interpolation for Relative Positions Improves Long Context Transformers., , , , , , , , , и . CoRR, (2023)Learning Physics-Informed Neural Networks without Stacked Back-propagation., , , , , , , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 3034-3047. PMLR, (2023)Learning Physics-Informed Neural Networks without Stacked Back-propagation., , , , , , , и . CoRR, (2022)Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding., , , , , , , , и . NeurIPS, стр. 22795-22807. (2021)A visual detection algorithm for autonomous driving road environment perception., , , , , и . Eng. Appl. Artif. Intell., (2024)Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers., , , , , , , , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 2278-2286. PMLR, (2024)Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers., , , , , , , , , и . CoRR, (2023)Can Vision Transformers Perform Convolution?, , , и . CoRR, (2021)Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?, , , и . NeurIPS, (2022)Your Transformer May Not be as Powerful as You Expect., , , , , и . NeurIPS, (2022)