annafabris / Poisoning-unlabeled-Dataset-for-Semi-Supervised-LearningLinks
A Semi-supervised learning model (Ladder Network) to classify MNIST digits. A few attacks were executed on it with the target of misclassifying 4s with 9s.
☆10Updated 2 years ago
Alternatives and similar repositories for Poisoning-unlabeled-Dataset-for-Semi-Supervised-Learning
Users that are interested in Poisoning-unlabeled-Dataset-for-Semi-Supervised-Learning are comparing it to the libraries listed below
Sorting:
- Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering☆14Updated 4 years ago
- This is a Pytorch Implementation of the DASP algorithm from the paper "Explaining Deep Neural Networks with a Polynomial Time Algorithm f…☆11Updated 5 years ago
- This is a comprehensive list of Heterogeneous Transfer Learning methods with their resource (paper, code and data).☆31Updated last year
- Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)☆17Updated 5 years ago
- Pseudo-labelling and knowledge distillation from multiple teachers for remote sensing monitoring of deforestation in Ukraine☆13Updated 3 years ago
- Code for Unsupervised Multi-Source Domain Adaptation for Regression paper☆20Updated 5 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Updated 4 years ago
- This is the implementation for the ICASSP-2022 paper (Confidence-Aware Multi-Teacher Knowledge Distillation).☆63Updated 3 years ago
- [ACMMM 2020] Code release for "Simultaneous Semantic Alignment Network for Heterogenous Domain Adaptation" https://arxiv.org/abs/2008.01…☆31Updated 3 years ago
- ☆14Updated 2 years ago
- ☆30Updated 3 years ago
- Code Repository for SCM-VAE (IEEE Big Data)☆14Updated 3 years ago
- popular concept drift evaluation datasets☆11Updated 6 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆121Updated 4 years ago
- A collection of resources for graph-based semi-supervised learning (GSSL).☆20Updated 4 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆200Updated 3 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 4 years ago
- ☆25Updated 3 years ago
- Multiple Source Domain Adaptation with Adversarial Learning☆22Updated 5 years ago
- It contains some of the novel feature selection algorithms I've developed☆13Updated 4 years ago
- The code for our AAAI 22 paper "Semi-Supervised Learning with Multi-Head Co-Training" and journal submission.☆11Updated 2 years ago
- Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)☆15Updated last year
- PyTorch implementation for "Classification-Reconstruction Learning for Open-Set Recognition" CVPR 2019.☆57Updated 3 years ago
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Updated 4 years ago
- Open Set Recognition☆175Updated 4 years ago
- ACDWM (Adaptive Chunk-based Dynamic Weighted Majority)☆10Updated 6 years ago
- Demo code for the MDAN paper.☆127Updated 5 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆49Updated 3 years ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆59Updated 3 years ago
- Record my work in transfer learning during my postgraduate period.☆51Updated last year