haebeom-lee / metadropLinks
Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
☆27Updated 5 years ago
Alternatives and similar repositories for metadrop
Users that are interested in metadrop are comparing it to the libraries listed below
Sorting:
- ☆14Updated 6 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 5 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- ☆36Updated 4 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆57Updated 4 years ago
- ☆12Updated 5 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆64Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- ☆31Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆90Updated 5 years ago
- Gradient-based Hyperparameter Optimization Over Long Horizons☆14Updated 3 years ago
- ☆63Updated 4 years ago
- ☆65Updated last year
- ☆38Updated 4 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- ☆20Updated 5 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆20Updated 2 years ago
- ☆42Updated 3 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- ☆34Updated 4 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Updated 4 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆60Updated 4 years ago