Frozenmad / MetaDeltaLinks
1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge.
☆47Updated 3 years ago
Alternatives and similar repositories for MetaDelta
Users that are interested in MetaDelta are comparing it to the libraries listed below
Sorting:
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Updated 4 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆56Updated 4 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 6 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- 90%+ with 40 labels. please see the readme for details.☆36Updated 5 years ago
- Laplacian Regularized Few Shot Learning☆84Updated 3 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆68Updated 3 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆22Updated 3 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆102Updated 2 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆105Updated 4 years ago
- ☆53Updated 4 years ago
- Official Pytorch implementation of MixMo framework☆83Updated 4 years ago
- awesome few shot / meta learning papers☆53Updated 4 years ago
- Few-Shot Learning with Global Class Representations☆74Updated 3 years ago
- official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020☆42Updated 5 years ago
- ☆95Updated 3 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆50Updated 2 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 5 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 4 years ago
- ☆42Updated 5 years ago
- Bootstrapping loss function implementation in pytorch☆36Updated 5 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 5 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 4 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆40Updated 3 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆98Updated 6 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆123Updated 2 years ago