Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
☆17Oct 12, 2022Updated 3 years ago
Alternatives and similar repositories for ELLA
Users that are interested in ELLA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- Code for EMNLP 2022 Paper: On the Calibration of Massively Multilingual Language Models☆15Jun 12, 2023Updated 2 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆18Dec 11, 2021Updated 4 years ago
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Aug 19, 2021Updated 4 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Sep 25, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Jun 17, 2024Updated last year
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Nov 1, 2022Updated 3 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Apr 27, 2019Updated 6 years ago
- ☆11Mar 13, 2021Updated 5 years ago
- ☆35Nov 17, 2021Updated 4 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Aug 3, 2020Updated 5 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆16Oct 21, 2020Updated 5 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".☆18Jul 10, 2024Updated last year
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- COMS30017 Computational Neuroscience☆11Jan 7, 2022Updated 4 years ago
- Code release for "Generative Modeling of Weights: Generalization or Memorization?"☆19Updated this week
- Calculate observables from neural network-based VMC (NN-VMC).☆17Apr 16, 2025Updated 11 months ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆37Aug 25, 2023Updated 2 years ago
- Official codes for Scalable Infomin Learning, NeurIPS 2022☆14Feb 28, 2023Updated 3 years ago
- ☆13Oct 8, 2021Updated 4 years ago
- Neural Feature Engineering☆13May 6, 2025Updated 11 months ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 3 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆151Jan 7, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processin…☆12Mar 15, 2026Updated last month
- [ACL-IJCNLP 2021] Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor☆10Jul 10, 2023Updated 2 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Oct 11, 2021Updated 4 years ago
- 2020 course on Online learning☆25Mar 10, 2020Updated 6 years ago
- An interpretable progression model for high-dimensional neuroimaging data.☆17Jul 13, 2023Updated 2 years ago
- Helps create datasets scraped from Google Images☆12Oct 31, 2018Updated 7 years ago
- Canonical Correlation Forests☆21Sep 14, 2018Updated 7 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 4 years ago
- ☆21Dec 6, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- “Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition” (EMNLP 2022)☆16Feb 2, 2023Updated 3 years ago
- ☆10Apr 23, 2021Updated 4 years ago
- Personal experiments and implementation examples of deep learning papers.☆11Jan 23, 2018Updated 8 years ago
- ☆10Jul 30, 2019Updated 6 years ago
- ☆11Oct 3, 2021Updated 4 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆19Apr 22, 2022Updated 3 years ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆68Jul 11, 2020Updated 5 years ago