haebeom-lee / metadrop
Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
☆27Updated 4 years ago
Alternatives and similar repositories for metadrop:
Users that are interested in metadrop are comparing it to the libraries listed below
- ☆36Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- ☆14Updated 5 years ago
- ☆30Updated 3 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 3 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…☆21Updated 2 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆18Updated 3 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 4 years ago
- ☆12Updated 5 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆23Updated 4 years ago
- ☆20Updated 4 years ago
- ☆34Updated 4 years ago
- Gradient-based Hyperparameter Optimization Over Long Horizons☆13Updated 3 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 11 months ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆41Updated 2 years ago
- ☆38Updated 3 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆19Updated 5 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- ☆24Updated 3 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Updated 4 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆40Updated 4 years ago
- ☆64Updated 4 years ago