GitZH-Chen / Awesome-Riemannian-Deep-LearningLinks
This repo contains papers, books, tutorials and resources on Riemannian deep learning.
☆41Updated 4 months ago
Alternatives and similar repositories for Awesome-Riemannian-Deep-Learning
Users that are interested in Awesome-Riemannian-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.☆13Updated last year
- (CVPR24) Riemannian Multinomial Logistics Regression for SPD Neural Networks☆14Updated 10 months ago
- Official implementation of the paper "Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification".☆25Updated 10 months ago
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆15Updated 5 years ago
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆19Updated 9 months ago
- [ECCV 2024] Official Implementation of "Disentangling Masked Autoencoders for Unsupervised Domain Generalization"☆15Updated 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
- Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations☆29Updated last year
- A curated publication list on evidential deep learning.☆154Updated 7 months ago
- 🕹️The toy examples of Kolmogorov-Arnold Network (Get Started Quickly)☆75Updated last year
- A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?☆42Updated 2 years ago
- 🤗 [ICLR 2024] Disentangling Time Series Representations via Contrastive based l-Variational Inference☆19Updated 10 months ago
- The code for the paper: TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning☆62Updated last year
- ☆29Updated last week
- Awesome things about domain generalization, including papers, code, etc.☆500Updated 7 months ago
- [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation☆60Updated last year
- MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification [AAAI 2025]☆31Updated 7 months ago
- submission file of elsevier.☆170Updated 2 years ago
- SF(DA)²: Source-free Domain Adaptation Through the Lens of Data Augmentation (ICLR 2024)☆21Updated last year
- [Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification☆151Updated 8 months ago
- This repository implements time series diffusion in the frequency domain.☆54Updated 9 months ago
- [ICCV2023] "Vision HGNN: An Image is More than a Graph of Nodes" by Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, and Zhangyang Wang☆61Updated 5 months ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆67Updated last year
- ☆14Updated last year
- Rethinking Multi-domain Generalization with A General Learning Objective, accepted by cvpr24☆19Updated last year
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆29Updated 2 years ago
- 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
- Contrastive Learning for Domain Adaptation of Time Series☆94Updated last year
- [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices☆58Updated 2 years ago
- This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"☆10Updated 2 years ago