facebookresearch / InvarianceUnitTests
Toy datasets to evaluate algorithms for domain generalization and invariance learning.
☆42Updated 3 years ago
Alternatives and similar repositories for InvarianceUnitTests:
Users that are interested in InvarianceUnitTests are comparing it to the libraries listed below
- ☆34Updated 3 years ago
- ☆34Updated 3 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
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- ☆64Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- ☆55Updated 4 years ago
- Code for "Neural causal learning from unknown interventions"☆100Updated 4 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- ☆38Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- ☆62Updated 3 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 3 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- ☆20Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 years ago
- GAN(TK)²: GAN Neural Tangent Kernel ToolKit☆13Updated 2 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
- ☆31Updated 2 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- A way to achieve uniform confidence far away from the training data.☆37Updated 3 years ago
- ☆13Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago