qianlima-lab / SoftShapeLinks
This is an official pytorch implementation for paper "Learning Soft Sparse Shapes for Efficient Time-Series Classification" (ICML-25, Spotlight).
☆20Updated 7 months ago
Alternatives and similar repositories for SoftShape
Users that are interested in SoftShape are comparing it to the libraries listed below
Sorting:
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆40Updated last year
- Official implementation of the paper "Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification".☆28Updated 11 months ago
- Official implementations of "Frequency-masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning (AA…☆23Updated 6 months ago
- ☆66Updated 3 months ago
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆29Updated 2 years ago
- MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification [AAAI 2025]☆32Updated 8 months ago
- ☆37Updated last year
- ☆18Updated 2 years ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆37Updated 2 years ago
- ☆34Updated 2 weeks ago
- Official implementation of the paper "Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting".☆28Updated 11 months ago
- This is an official pytorch implementation for paper "Temporal-Frequency Co-training for Time Series Semi-supervised Learning" (AAAI-23)…☆15Updated last year
- Code release of paper "FAITH: Frequency-domain Attention In Two Horizons for Long-term time series forecasting"☆18Updated 6 months ago
- This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-…☆36Updated last year
- Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.☆27Updated last year
- ☆24Updated last year
- TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative d…☆58Updated last year
- The official code of the paper "MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series" [ICML 2024].☆14Updated 9 months ago
- ☆43Updated 5 months ago
- ☆116Updated last year
- [NeurIPS 2024] The repository for experiment codes for the paper: Scaling Law for Time Series Forecasting.☆20Updated last year
- ☆24Updated 10 months ago
- ☆14Updated 5 months ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆150Updated last year
- Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations☆30Updated last year
- ☆25Updated last year
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆80Updated last year
- Code release of paper "MLGN: Multi-Scale Local-Global Feature Learning Network for Long-term Series Forecasting" 💚☆16Updated last year
- ☆29Updated last year
- This is an official pytorch implementation for paper "Learning Soft Sparse Shapes for Efficient Time-Series Classification" (ICML-25, Spo…☆19Updated 7 months ago