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@qianlima-lab

qianlima-lab

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time-series-ptms

A Survey on Time-Series Pre-Trained Models

DTCR

The paper "Learning Representations for Time Series Clustering"

HiMatch

Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification

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