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LETS-C: Leveraging Text Embedding for Time Series Classification
Rachneet Kaur
|
Zhen Zeng
|
Tucker Balch
|
Manuela Veloso
|
Paper Details:
Month: July
Year: 2025
Location: Vienna, Austria
Venue:
ACL |
Citations
URL
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https://doi.org/10.24432/C52C9Q
https://doi.org/10.24432/C5NS47
https://huggingface.co/
https://platform.openai.com/docs/guides/
https://openai.com/index/
https://www.kaggle.com/
https://github.com/markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping/tree/master
https://github.com/dmlc/xgboost
https://github.com/angus924/rocket/tree/master
https://github.com/thuml/Time-Series-Library/blob/main/models/LightTS.py
https://github.com/thuml/Time-Series-Library/blob/main/models/DLinear.py
https://github.com/laiguokun/LSTNet
https://github.com/state-spaces/s4
https://github.com/White-Link/UnsupervisedScalableRepresentationLearningTimeSeries
https://github.com/thuml/Time-Series-Library/blob/main/models/TimesNet.py
https://github.com/thuml/Time-Series-Library/blob/main/models/Transformer.py
https://github.com/thuml/Time-Series-Library/blob/main/models/Reformer.py
https://github.com/thuml/Time-Series-Library/blob/main/models/Informer.py
https://github.com/thuml/Time-Series-Library/blob/main/models/Pyraformer.py
https://github.com/thuml/Time-Series-Library/blob/main/models/Autoformer.py
https://github.com/thuml/Time-Series-Library/blob/main/models/Nonstationary_Transformer.py
https://github.com/thuml/Time-Series-Library/blob/main/models/FEDformer.py
https://github.com/thuml/Time-Series-Library/blob/main/models/ETSformer.py
https://github.com/thuml/Flowformer/tree/main/Flowformer_TimeSeries
https://github.com/yuqinie98/PatchTST
https://github.com/DAMO-DI-ML/NeurIPS2023-One-Fits-All
https://github.com/White-Link/UnsupervisedScalableRepresentationLearningTimeSeries
https://github.com/sanatonek/TNC_representation_learning
https://github.com/zhihanyue/ts2vec
https://github.com/emadeldeen24/TS-TCC
https://github.com/gzerveas/mvts_transformer
https://github.com/moment-timeseries-foundation-model/moment
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