Methods › Natural Language Processing › Transformers › Reformer
Reformer
Introduced by Nikita Kitaev et al. in Reformer: The Efficient Transformer
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Reformer is a Transformer based architecture that seeks to make efficiency improvements. Dot-product attention is replaced by one that uses locality-sensitive hashing, changing its complexity from O(L²) to O(LlogL), where L is the length of the sequence. Furthermore, Reformers use reversible residual layers instead of the standard residuals, which allows storing activations only once in the training process instead of N times, where N is the number of layers.
Papers archive 2025-07-28
20 shown of 20, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet 8 May 2025 · 1 repository · arXiv:2505.05538
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Fast-Powerformer: A Memory-Efficient Transformer for Accurate Mid-Term Wind Power Forecasting 15 Apr 2025 · 0 repositories · arXiv:2504.10923
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ReFormer: Generating Radio Fakes for Data Augmentation 31 Dec 2024 · 0 repositories · arXiv:2501.00282
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GLMHA A Guided Low-rank Multi-Head Self-Attention for Efficient Image Restoration and Spectral Reconstruction 1 Oct 2024 · 0 repositories · arXiv:2410.00380
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Masked Face Recognition with Generative-to-Discriminative Representations 27 May 2024 · 0 repositories · arXiv:2405.16761
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A novel transformer-based approach for soil temperature prediction 20 Nov 2023 · 0 repositories · arXiv:2311.11626
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LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension 16 Dec 2022 · 0 repositories · arXiv:2212.08204
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FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting 2 Dec 2022 · 1 repository · arXiv:2212.01209
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Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting 28 May 2022 · 2 repositories · arXiv:2205.14415
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Discovering material information using hierarchical Reformer model on financial regulatory filings 28 Mar 2022 · 0 repositories · arXiv:2204.05979
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Dynamic Token Normalization Improves Vision Transformers 5 Dec 2021 · 1 repository · arXiv:2112.02624Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
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End-to-End User Behavior Retrieval in Click-Through RatePrediction Model 10 Aug 2021 · 1 repository · arXiv:2108.04468
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ReFormer: The Relational Transformer for Image Captioning 29 Jul 2021 · 1 repository · arXiv:2107.14178
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A Practical Survey on Faster and Lighter Transformers 26 Mar 2021 · 0 repositories · arXiv:2103.14636
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ReAssert: Deep Learning for Assert Generation 19 Nov 2020 · 0 repositories · arXiv:2011.09784
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Learning to Unknot 28 Oct 2020 · 0 repositories · arXiv:2010.16263
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Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging 23 Sep 2020 · 0 repositories · arXiv:2009.11090
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Efficient Transformers: A Survey 14 Sep 2020 · 0 repositories · arXiv:2009.06732
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Neural Machine Translation with Joint Representation 16 Feb 2020 · 1 repository · arXiv:2002.06546
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Reformer: The Efficient Transformer 13 Jan 2020 · 10 repositories · arXiv:2001.04451Syntology ran 6 of 8 samples · 2 unverified
Tasks archive 2025-07-28
20 shown of 48 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections