baiksung / L2F
Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"
☆34Updated 4 years ago
Alternatives and similar repositories for L2F:
Users that are interested in L2F are comparing it to the libraries listed below
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆82Updated 2 years ago
- ☆10Updated 4 years ago
- Deepest Season 6 Meta-Learning study papers plus alpha☆24Updated 5 years ago
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Updated 4 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆64Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 3 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆76Updated 4 years ago
- Meta-Learning with Warped Gradient Descent☆93Updated 4 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 5 years ago
- Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"☆67Updated 2 years ago
- Few-shot Image Generation with Reptile☆64Updated 6 years ago
- Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)☆126Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- Official Repository for our ECCV2020 paper: Imbalanced Continual Learning with Partitioning Reservoir Sampling☆49Updated 2 years ago
- This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".☆59Updated 3 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- ☆30Updated 6 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 2 years ago
- ☆50Updated 4 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated 8 months ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆59Updated 3 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆116Updated 3 years ago
- ☆23Updated 3 years ago
- The code for the paper, 'Meta-Curvature, Eunbyung Park and Junier Oliver, NeurIPS 2019'☆11Updated 5 years ago
- ☆30Updated 4 years ago
- ☆11Updated 3 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago