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:
- This repository contains source code of the ICML 2020 paper:(Learning to Learn Kernels with Variational Random Features)☆8Updated 5 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 10 months ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Updated 2 years ago
- ☆22Updated last year
- Proceedings of ICML 2021☆10Updated last year
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- ☆21Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- ☆36Updated 4 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆22Updated 3 years ago
- ☆19Updated 4 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆46Updated 4 years ago
- [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning☆30Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 4 years ago
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Updated 10 months ago
- ☆10Updated 4 years ago
- ☆13Updated last year
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆25Updated last year