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DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series

Summary: DARKER approximates softmax attention with multiple data-driven, trainable kernel projections rather than a fixed random feature map. Its pIndex selects projections and an input index accelerates training, yielding linear sequence complexity and 3–4× speedups with competitive TSC accuracy. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h2ad9ca16571b496b
Venue
VLDB
Year
2024
Pagerank
4.9769913e-05
Overall Rank
11,600 | 22.04%
DOI
10.14778/3681954.3681996
PDF
Download (CC BY-NC-ND 4.0)

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Authors

BibTeX Citation

@article{zuo_vldb24,
        title = {{DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series}},
        author = {Zuo, Rundong and Li, Guozhong and Cao, Rui and Choi, Byron and Xu, Jianliang and Bhowmick, Sourav S},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {11},
        pages = {3229--3242},
        doi = {10.14778/3681954.3681996},
        url = {https://doi.org/10.14778/3681954.3681996},
        year = {2024}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,166 Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases 2023 SIGMOD 0.0001172922
1,742 TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data 2022 VLDB 9.7393078e-05
3,728 Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series 2023 VLDB 7.0667899e-05
3,880 RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection 2021 SIGMOD 6.9478419e-05
4,185 AutoAI-TS: AutoAI for Time Series Forecasting 2021 SIGMOD 6.7472419e-05
4,535 SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting 2023 VLDB 6.5530385e-05
4,679 Entity Resolution with Hierarchical Graph Attention Networks 2022 SIGMOD 6.471666e-05
5,011 Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism 2023 VLDB 6.3131083e-05
6,184 High-Dimensional Vector Similarity Search: From Time Series to Deep Network Embeddings 2020 SIGMOD 5.8567387e-05
6,538 AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting 2023 SIGMOD 5.7511254e-05
7,154 Interpretable Clustering of Multivariate Time Series with Time2Feat 2023 VLDB 5.595637e-05
8,209 FeatTS: Feature-based Time Series Clustering 2021 SIGMOD 5.3761875e-05
9,665 Odyssey: An Engine Enabling The Time-Series Clustering Journey 2023 VLDB 5.142891e-05
9,667 dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification 2022 SIGMOD 5.142891e-05
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