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time-series-ptms
A Survey on Time-Series Pre-Trained ModelsDTCR
The paper "Learning Representations for Time Series Clustering"TSN
The paper "Triple-shapelet Networks for Time Series Classification"TAMS-RNNs
ConvMESN
The code for paper "Convolutional Multi-timescale Echo State Network"ADSN
The paper "Adversarial Dynamic Shapelet Network"AJ-RNN
Tensorflow imeplementaion of AJ-RNN (Adversarial Joint-Learning Recurrent Neural Network ).TS-TFC
This is an official pytorch implementation for paper "Temporal-Frequency Co-Training for Time Series Semi-Supervised Learning"(AAAI-23).EMN
The coder for paper "Time series classification with Echo Memory Networks"CRLI
LIME-RNN
The code for paper "End-to-End Incomplete Time Series Modeling from Linear Memory of Latent Variables"DBAK
The code for the paper "Dynamic Barycenter Averaging Kernel in RBF Networks for Time Series Classification"TPRNN
The repository for AAAI-20 accepted paper "Temporal Pyramid Recurrent Neural Network"MODE-LSTM
The repository for EMNLP 2020 accepted paper "MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification"JobDA
MvDGAE
The paper "Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation" accepted by 2021 SIGKDD.CATE
The paper "CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning" accepted by EMNLP2021.DeePrESN
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