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☆278Updated 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
- Last-layer Laplace approximation code examples☆84Updated 4 years ago
- ☆89Updated 3 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆57Updated 5 years ago
- Hypergradient descent☆148Updated last year
- ☆124Updated last year
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆425Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Information Bottlenecks for Attribution☆82Updated 2 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆66Updated 6 years ago
- ☆133Updated 4 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆162Updated 5 years ago
- ☆67Updated 6 years ago
- Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning☆101Updated 4 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆141Updated 6 years ago
- Implementation of Glow in PyTorch☆80Updated 4 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 7 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 4 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- ☆148Updated 3 years ago