MrtnMndt / OpenVAE_ContinualLearning
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
☆60Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for OpenVAE_ContinualLearning
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 3 years ago
- ☆46Updated 2 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 2 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 3 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- ☆46Updated 3 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 5 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 4 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated last year
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 4 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆64Updated 3 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆25Updated 2 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆95Updated last year
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 3 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated last year
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆87Updated 2 years ago
- Adjust Decision Boundary for Class Imbalanced Learning☆18Updated 4 years ago
- Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)☆42Updated 4 years ago
- implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network☆38Updated 5 years ago
- ☆34Updated 6 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 3 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 5 years ago