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The recent breakthrough of Transformers in deep learning has drawn significant attention of the time series community due to their ability to capture long-range dependencies.
Understanding LSTM–a tutorial into long short-term memory recurrent neural networks
Staudemeyer, R. C.; and Morris, E. R. 2019 · 1909
Earlier work this paper cites.
Optimal kernel choice for large-scale two-sample tests
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Attention is all you need
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Earlier work this paper cites.
Universal language model fine-tuning for text classification
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Net Zero Energy Residential Test Facility Instrumented Data; Year 1
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An overview of overfitting and its solutions
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A brief review of domain adaptation
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Forget me not: Reducing catastrophic forgetting for domain adaptation in reading comprehension
Xu, Y.; Zhong, X.; Yepes, A. J. J.; and Lau, J. H. 2020 · 2020
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A comprehensive survey on transfer learning
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An investigation of replay-based approaches for continual learning
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Forecast methods for time series data: a survey
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Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
Wu, H.; Xu, J.; Wang, J.; and Long, M. 2021 · 2021
Transformers in time series: A survey
Wen, Q.; Zhou, T.; Zhang, C.; Chen, W.; Ma, Z.; Yan, J.; and Sun, L. 2022 · 2022
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Federated Continual Learning with Differentially Private Data Sharing
Zizzo, G.; Rawat, A.; Holohan, N.; and Tirupathi, S. 2022 · 2022
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Water Furnace Geothermal Heat Pumps: Symphony Time Series: April 2015 - November 2016
2023
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Management of Realtime Energy Data
2023 · 2023
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Transformers in time-series analysis: A tutorial
Ahmed, S.; Nielsen, I. E.; Tripathi, A.; Siddiqui, S.; Ramachandran, R. P.; and Rasool, G. 2023 · 2023
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Linear regression
James, G.; Witten, D.; Hastie, T.; Tibshirani, R.; and Taylor, J. 2023 · 2023
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Cited alongside, same era.
Informer: Beyond efficient transformer for long sequence time-series forecasting
Zhou, H.; Zhang, S.; Peng, J.; Zhang, S.; Li, J.; Xiong, H.; and Zhang, W. 2021 · 2021
Cited alongside, same era.
A time series is worth 64 words: Long-term forecasting with transformers
Nie, Y.; Nguyen, N. H.; Sinthong, P.; and Kalagnanam, J. 2022 · 2022
Cited alongside, same era.
Domain adaptation and multi-domain adaptation for neural machine translation: A survey
Saunders, D. 2022 · 2022
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FDA-HeatFlex: Scalable Privacy-Preserving Temperature and Flexibility Prediction for Heat Pumps using Federated Domain Adaptation
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A comprehensive survey of continual learning: Theory, method and application
Wang, L.; Zhang, X.; Su, H.; and Zhu, J. 2023 · 2023
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Are transformers effective for time series forecasting?
Zeng, A.; Chen, M.; Zhang, L.; and Xu, Q. 2023 · 2023
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