team-approx-bayes / frompView external linksLinks
Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
☆44Nov 10, 2020Updated 5 years ago
Alternatives and similar repositories for fromp
Users that are interested in fromp are comparing it to the libraries listed below
Sorting:
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Dec 17, 2019Updated 6 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆15Oct 24, 2020Updated 5 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19May 9, 2019Updated 6 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Feb 1, 2022Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Jul 19, 2020Updated 5 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 4 years ago
- Hessian trace estimation using PyTorch and Hutch++☆20Oct 29, 2020Updated 5 years ago
- This is a public repository for:☆39Aug 11, 2021Updated 4 years ago
- Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks☆21Oct 24, 2022Updated 3 years ago
- ☆11Jan 16, 2020Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- ☆30Aug 8, 2021Updated 4 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆26Mar 10, 2023Updated 2 years ago
- Official repository of the paper 'Essentials for Class Incremental Learning'☆42Sep 16, 2021Updated 4 years ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Nov 1, 2022Updated 3 years ago
- lanmt ebm☆12Jun 19, 2020Updated 5 years ago
- ☆13Nov 26, 2023Updated 2 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆16Oct 11, 2021Updated 4 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Nov 15, 2021Updated 4 years ago
- Official implementation of ICLR 2025 'LORO: Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization'☆16Apr 24, 2025Updated 9 months ago
- Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)☆12Aug 16, 2023Updated 2 years ago
- [ICLR 2025] Official PyTorch implementation of our paper for general continual learning "Advancing Prompt-Based Methods for Replay-Indepe…☆16Dec 21, 2025Updated last month
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated last year
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Oct 12, 2021Updated 4 years ago
- Implementation for the paper "Learning Invariant Representation for Continual Learning" in PyTorch.☆12Jan 31, 2021Updated 5 years ago
- Regularization, Neural Network Training Dynamics☆14Jan 13, 2020Updated 6 years ago
- Weighted Training for Cross-Task Learning☆15Feb 12, 2023Updated 3 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Sep 9, 2022Updated 3 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Mar 26, 2021Updated 4 years ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆17Oct 23, 2022Updated 3 years ago
- The official PyTorch implementation of CVPR2025 paper "Language Guided Concept Bottleneck Models for Interpretable Continual Learning"☆31Jun 17, 2025Updated 7 months ago
- Variational Reinforcement Learning☆17Jul 25, 2024Updated last year
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Jun 16, 2023Updated 2 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Oct 1, 2023Updated 2 years ago
- ☆44May 3, 2024Updated last year
- A simple Jax implementation of influence functions.☆20Apr 9, 2024Updated last year