mmderakhshani / KCLLinks
[ICML 2021] Kernel Continual Learning
☆7Updated 3 years ago
Alternatives and similar repositories for KCL
Users that are interested in KCL are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- ☆21Updated 3 years ago
- Proceedings of ICML 2021☆10Updated last year
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- Quantile risk minimization☆24Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆77Updated 3 years ago
- ☆22Updated 2 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- ☆10Updated 4 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Updated 5 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Updated 2 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆42Updated 2 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 11 months ago
- ☆37Updated 4 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆15Updated 4 years ago
- Robust Optimal Transport code☆43Updated 2 years ago
- ☆20Updated 5 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆25Updated 2 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- ☆31Updated 3 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆47Updated 4 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago