kreimanlab / VariationalPrototypeReplaysCL
Continual learning using variational prototype replays
☆9Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for VariationalPrototypeReplaysCL
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 4 years ago
- A Generic Multi-classifier Paradigm forIncremental Learning☆11Updated 4 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆21Updated 2 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 4 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 3 years ago
- ☆10Updated 4 years ago
- ☆32Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- DeepNCM: Deep Nearest Class Mean Classifiers☆13Updated 5 years ago
- infinite mixture prototypes for few-shot learning☆50Updated 2 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated last year
- ☆13Updated 4 years ago
- Class Normalization for Continual Zero-Shot Learning☆34Updated 3 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆32Updated 5 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 3 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆36Updated 3 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Graph Knowledge Distillation☆13Updated 4 years ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 2 years ago
- Transductive Zero-Shot Learning with Visual Structure Constraint, in NeurIPS 2019☆44Updated 5 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 2 years ago
- PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs☆24Updated last year
- ☆29Updated 3 years ago
- Codes for UODTN; Open domain recognition; CVPR19☆45Updated 3 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 2 years ago
- ☆46Updated 2 years ago