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:
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- Generative Adversarial Minority Oversampling☆33Updated 6 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆98Updated 6 years ago
- Deep Comprehensive Correlation Mining☆83Updated 5 years ago
- ☆151Updated 3 years ago
- Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)☆296Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆270Updated 4 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆275Updated 7 years ago
- Learning deep representations by mutual information estimation and maximization☆322Updated 7 years ago
- "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)☆169Updated 3 years ago
- Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery☆156Updated 6 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆96Updated 6 years ago
- ☆22Updated 6 years ago
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆45Updated 3 years ago
- Experiments with perceptual loss and autoencoders.☆28Updated 4 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆117Updated 5 years ago
- PyTorch implementation of Deep Spectral Clustering paper on a toy dataset☆25Updated 7 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆225Updated 5 years ago
- PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning☆111Updated 7 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆102Updated 2 years ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 5 years ago
- A pytorch implementation of "Domain-Adaptive Few-Shot Learning"☆148Updated 5 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆65Updated 4 years ago
- Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)☆44Updated 6 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆91Updated 4 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated last year
- Laplacian Regularized Few Shot Learning☆84Updated 3 years ago