qianlima-lab / Scale-teachingLinks
This is an official pytorch implementation for paper "Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels" (NeurIPS-23).
☆14Updated last year
Alternatives and similar repositories for Scale-teaching
Users that are interested in Scale-teaching are comparing it to the libraries listed below
Sorting:
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆138Updated last year
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆88Updated last year
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆213Updated 2 years ago
- Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AA…☆34Updated 3 months ago
- ☆77Updated last year
- Domain Adaptation for Time Series Under Feature and Label Shifts☆122Updated 2 years ago
- TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification☆73Updated 2 years ago
- ☆37Updated last year
- [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"☆454Updated last year
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆347Updated last year
- MEMTO accepted at NeurIPS 2023☆39Updated last year
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆160Updated last year
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆215Updated 11 months ago
- The official code of the paper "MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series" [ICML 2024].☆15Updated 5 months ago
- Self-supervised contrastive learning for time series via time-frequency consistency☆493Updated last year
- [NeurIPS 2024] Official implementation of the paper "Are Self-Attentions Effective for Time Series Forecasting?"☆44Updated 8 months ago
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆340Updated last year
- [ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching☆98Updated last month
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆50Updated last year
- DBPM is a simple algorithm designed as a lightweight plug-in without learnable parameters to enhance the performance of time series contr…☆17Updated last year
- Code repository of “Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis”☆25Updated 8 months ago
- Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction (NeurIPS 2023) https://arxiv.org/abs/2310.1…☆38Updated last year
- MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification [AAAI 2025]☆29Updated 4 months ago
- ☆103Updated 9 months ago
- Code support as a published paper！☆56Updated last year
- Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.☆27Updated last year
- ☆236Updated last year
- A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (publish…☆105Updated 2 years ago
- A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?☆38Updated last year
- A curated list of state-of-the-art papers on deep learning for universal representations of time series.☆183Updated 2 months ago