lizhitwo / LearningWithoutForgetting
Repository for the Learning without Forgetting paper, ECCV 2016
☆82Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for LearningWithoutForgetting
- End-to-End Incremental Learning☆66Updated 5 years ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆230Updated 6 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 6 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 3 months ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆118Updated 4 years ago
- ☆44Updated 6 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 5 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆199Updated 7 years ago
- ☆16Updated 6 years ago
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 6 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆200Updated 3 years ago
- Memory Aware Synapses method implementation code☆94Updated 6 years ago
- ☆102Updated 4 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆109Updated 6 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 4 years ago
- CORe50: a new Dataset and Benchmark for Continual Learning☆120Updated 3 years ago
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆97Updated 6 years ago
- ☆249Updated 3 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆79Updated last year
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 5 years ago
- We introduce a model of lifelong learning, based on a Network of Experts. New tasks / experts are learned and added to the model sequenti…☆10Updated 7 years ago
- Implementation of ICML15 paper "Learning Transferable Features with Deep Adaptation Networks" based on caffe☆33Updated 9 years ago
- Interpreting CNN Knowledge via an Explanatory Graph☆69Updated 4 years ago
- ☆70Updated 4 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆110Updated 6 years ago
- ☆168Updated last year
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 4 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆155Updated 7 years ago
- Recent few-shot meta-learning papers☆86Updated 6 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 6 years ago