bflammers / automahalanobisLinks
A PyTorch implementation of an autoencoder trained to minimize the Mahalanobis distance between input and reconstruction.
☆26Updated 5 years ago
Alternatives and similar repositories for automahalanobis
Users that are interested in automahalanobis are comparing it to the libraries listed below
Sorting:
- Generative Adversarial Minority Oversampling☆33Updated 5 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆98Updated 6 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- ☆151Updated 2 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- A pytorch implementation of "Domain-Adaptive Few-Shot Learning"☆147Updated 5 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆64Updated 4 years ago
- Deep Comprehensive Correlation Mining☆84Updated 5 years ago
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆45Updated 3 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery☆156Updated 6 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆91Updated 4 years ago
- Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)☆44Updated 5 years ago
- Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)☆294Updated 2 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆117Updated 5 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆131Updated 4 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated last year
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆267Updated 4 years ago
- "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)☆168Updated 2 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆92Updated 3 years ago
- Meta-Learning based Noise-Tolerant Training☆124Updated 5 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 2 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated last year
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆224Updated 5 years ago
- Learning deep representations by mutual information estimation and maximization☆323Updated 6 years ago
- ☆130Updated 2 years ago