burklight / nonlinear-IB-PyTorch
Pytorch Implementation of the Nonlinear Information Bottleneck
☆38Updated 6 months ago
Alternatives and similar repositories for nonlinear-IB-PyTorch:
Users that are interested in nonlinear-IB-PyTorch are comparing it to the libraries listed below
- ☆89Updated 3 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- ☆30Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 5 years ago
- ☆64Updated 4 years ago
- PyTorch implementation of FIM and empirical FIM☆58Updated 6 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆183Updated 6 years ago
- Invariant-feature Subspace Recovery (ISR)☆23Updated 2 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆118Updated 3 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 6 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆48Updated 3 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- ☆31Updated 2 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆99Updated 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
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- ☆58Updated last year
- Domain Adaptation as a Problem of Inference on Graphical Models☆29Updated 4 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated last year
- ☆50Updated last year
- A Tensorflow implementation Mutual Information estimation methods☆46Updated last year
- ☆34Updated 3 years ago
- ☆35Updated 3 years ago