kreimanlab / VariationalPrototypeReplaysCLLinks
Continual learning using variational prototype replays
☆10Updated 5 years ago
Alternatives and similar repositories for VariationalPrototypeReplaysCL
Users that are interested in VariationalPrototypeReplaysCL are comparing it to the libraries listed below
Sorting:
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 5 years ago
- ☆11Updated 5 years ago
- A Generic Multi-classifier Paradigm forIncremental Learning☆11Updated 5 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- Class Normalization for Continual Zero-Shot Learning☆34Updated 4 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 3 years ago
- ☆34Updated 4 years ago
- This is the official repository for Batch Level Distillation (BLD)☆15Updated 4 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 5 years ago
- PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs☆23Updated 2 years ago
- PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)☆48Updated 2 years ago
- implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network☆38Updated 6 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆23Updated 3 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 4 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆100Updated 2 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 4 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 5 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- Codes for UODTN; Open domain recognition; CVPR19☆45Updated 4 years ago
- This is a public repository for:☆39Updated 4 years ago
- Transductive Zero-Shot Learning with Visual Structure Constraint, in NeurIPS 2019☆43Updated 6 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆17Updated 5 years ago
- Graph Knowledge Distillation☆13Updated 5 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 3 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago