brjathu / RPSnet
Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
☆53Updated last year
Related projects ⓘ
Alternatives and complementary repositories for RPSnet
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆95Updated last year
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 6 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆99Updated last year
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆36Updated 3 years ago
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 6 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆97Updated 4 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆118Updated 4 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Updated 3 years ago
- Official adversarial mixup resynthesis repository☆35Updated 4 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆79Updated last year
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆89Updated last year
- 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
- Generative Feature Replay For Class-Incremental Learning☆36Updated 4 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆118Updated 4 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 3 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 3 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆64Updated 2 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆74Updated last year
- ☆26Updated 4 years ago
- ☆70Updated last year
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆34Updated 4 years ago
- ☆21Updated 5 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆99Updated 2 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 3 months ago
- ☆53Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆60Updated 3 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 3 years ago