facebookresearch / jacobian_regularizerLinks
A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
☆129Updated 2 years ago
Alternatives and similar repositories for jacobian_regularizer
Users that are interested in jacobian_regularizer are comparing it to the libraries listed below
Sorting:
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆281Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- ☆59Updated 2 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆67Updated 6 years ago
- ☆89Updated 4 years ago
- ☆126Updated last year
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆58Updated 5 years ago
- Hypergradient descent☆147Updated last year
- Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning☆101Updated 4 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆426Updated 3 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆119Updated 4 years ago
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago