Lavreniuk / Pseudo-labelling-and-knowledge-distillation-from-multiple-teachers
Pseudo-labelling and knowledge distillation from multiple teachers for remote sensing monitoring of deforestation in Ukraine
☆12Updated 2 years ago
Alternatives and similar repositories for Pseudo-labelling-and-knowledge-distillation-from-multiple-teachers:
Users that are interested in Pseudo-labelling-and-knowledge-distillation-from-multiple-teachers are comparing it to the libraries listed below
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Updated 3 years ago
- An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map☆12Updated 3 years ago
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆37Updated 6 months ago
- It contains some of the novel feature selection algorithms I've developed☆13Updated 3 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆29Updated 9 months ago
- Unofficial Implementation of the Global Local Attention Module in PyTorch☆17Updated 2 years ago
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆17Updated 9 months ago
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆12Updated 3 years ago
- DMsrTTLN code☆16Updated 4 months ago
- Multi-scale Attention Convolutional Neural Network for Time Series Classification☆21Updated 4 years ago
- The PyTorch version for 'Domain-adversarial similarity-based meta-learning network'.☆15Updated 2 years ago
- ☆14Updated 4 years ago
- ☆12Updated last month
- Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors☆19Updated 2 years ago
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆9Updated last month
- ☆14Updated 2 years ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆16Updated 2 years ago
- Implementation of the OS-ROCKET algorithm for open set recognition for time series classifciation☆7Updated 3 years ago
- 1 提出了一种新的相似度损失(SimL),用于增大类间差异同时减小类内差异;2 SimL+CE优化CNN;3 基于电信号诊断轴承故障☆13Updated 7 months ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 3 years ago
- The implementation of Multiplication Convolutional Networks (MCN) in Pytorch.☆20Updated 8 months ago
- Official Code for the paper: "Composite Feature Selection using Deep Ensembles"☆22Updated last year
- [AEI 2024] Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis☆17Updated 6 months ago
- The official code of the paper "MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series" [ICML 2024].☆9Updated 7 months ago
- Multi-Teacher Knowledge Distillation, code for my PhD dissertation. I used knowledge distillation as a decision-fusion and compressing m…☆13Updated last year
- ☆21Updated 2 months ago
- ☆16Updated last year
- SSGC: Synergistic Similarity Graph Construction for Steel Plate Fault Diagnosis with Graph Attention Networks☆21Updated last month
- This folder contains spatiotemporal prediction models implemented in combination with Informer and GAT.☆15Updated last year
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆17Updated last year