AntreasAntoniou / Learning_to_Learn_via_Self-CritiqueLinks
The original code for the paper "Learning to Learn via Self-Critique".
☆47Updated 6 years ago
Alternatives and similar repositories for Learning_to_Learn_via_Self-Critique
Users that are interested in Learning_to_Learn_via_Self-Critique are comparing it to the libraries listed below
Sorting:
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 5 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆121Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆123Updated 6 years ago
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 7 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆118Updated 6 years ago
- ☆26Updated 5 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆56Updated 5 years ago
- A repository to keep track of literature on catastrophic forgetting☆37Updated 5 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 6 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- sidetuning.berkeley.edu☆71Updated 2 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆109Updated last year
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- ☆26Updated 7 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 8 years ago
- Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients☆58Updated 5 years ago
- Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"☆23Updated 5 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Updated 3 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 3 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆205Updated last year
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Updated 4 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 5 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆144Updated 4 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- ☆54Updated 6 years ago
- CORe50: a new Dataset and Benchmark for Continual Learning☆125Updated 4 years ago