haseebs / Pseudo-rehearsal-Incremental-Learning
Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"
☆13Updated 6 years ago
Alternatives and similar repositories for Pseudo-rehearsal-Incremental-Learning:
Users that are interested in Pseudo-rehearsal-Incremental-Learning are comparing it to the libraries listed below
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆33Updated 4 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 6 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 4 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 7 years ago
- ☆60Updated 6 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 8 months ago
- ☆16Updated 6 years ago
- ☆26Updated 6 years ago
- ☆53Updated 5 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆62Updated 2 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- ☆26Updated 4 years ago
- Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"☆23Updated 4 years ago
- Growing Dual-Memory Self-Organizing Networks☆25Updated 6 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- End-to-End Incremental Learning☆66Updated 5 years ago
- Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/18…☆16Updated 6 years ago
- Generalized Framework for PyTorch☆32Updated 3 years ago
- PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs☆24Updated 2 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Meta-SGD Algorithms Implementation☆22Updated 8 months ago
- Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning☆37Updated 3 years ago
- Tensorflow implementation of the `intelligent synapse' model from [Zenke et al., (2017)] and application to the Permuted MNIST benchmark.☆22Updated 7 years ago