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
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- ☆14Updated 5 years ago
- ☆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
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Updated last year
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆12Updated 5 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Updated 3 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- ☆30Updated 3 years ago
- ☆20Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆70Updated 9 months ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Learning To Stop While Learning To Predict☆34Updated 2 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 3 years ago
- ☆34Updated 4 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- ☆53Updated 5 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated last year
- Gradient-based Hyperparameter Optimization Over Long Horizons☆13Updated 3 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆40Updated 2 years ago
- ☆65Updated 7 months ago
- ☆38Updated 3 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆22Updated 4 years ago
- ☆31Updated 2 years ago
- ARML for ICLR 2020☆42Updated 4 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago