qianlima-lab / Scale-teaching
This is an official pytorch implementation for paper "Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels" (NeurIPS-23).
☆12Updated 10 months ago
Related projects: ⓘ
- This is an official pytorch implementation for paper "Temporal-Frequency Co-training for Time Series Semi-supervised Learning" (AAAI-23)…☆12Updated 4 months ago
- Contrastive Learning for Domain Adaptation of Time Series☆75Updated 5 months ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆107Updated 4 months ago
- ☆73Updated last week
- ☆46Updated 4 months ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆104Updated last year
- Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction (NeurIPS 2023) https://arxiv.org/abs/2310.1…☆26Updated 10 months ago
- Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.☆16Updated 5 months ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆50Updated 4 months ago
- ☆24Updated last month
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆76Updated 4 months ago
- [ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for diff…☆94Updated last week
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆119Updated 4 months ago
- ☆23Updated 8 months ago
- Unofficial PyTorch implementation of Domain Adaptation Forecaster☆33Updated 7 months ago
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆19Updated last year
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆30Updated last year
- ☆34Updated 9 months ago
- Task-Aware Reconstruction for Time-Series Transformer☆52Updated last year
- PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series…☆30Updated 8 months ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆24Updated 5 months ago
- Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AA…☆18Updated 8 months ago
- This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…☆91Updated 5 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆18Updated last month
- ☆24Updated last week
- ☆128Updated last month
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆22Updated 11 months ago
- This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-…☆21Updated 3 months ago
- ☆45Updated last year
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆176Updated last year