Guarantees on the behavior of neural networks don't always have to come at the cost of performance.
☆30Oct 12, 2022Updated 3 years ago
Alternatives and similar repositories for Provable-OOD-Detection
Users that are interested in Provable-OOD-Detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Adversarial Robustness on In- and Out-Distribution Improves Explainability☆12Feb 10, 2022Updated 4 years ago
- ☆12Feb 19, 2025Updated last year
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 5 years ago
- Code for ECML-PKDD 2022 Paper --- CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection☆13Oct 12, 2022Updated 3 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This is the official repository for our NeurIPS'22 paper "Watermarking for Out-of-distribution Detection."☆18Feb 24, 2023Updated 3 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Oct 6, 2023Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28May 6, 2023Updated 3 years ago
- ☆26Mar 17, 2023Updated 3 years ago
- [CIKM-2024] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"☆20Aug 14, 2024Updated last year
- NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension☆20Feb 21, 2025Updated last year
- ☆16May 25, 2022Updated 4 years ago
- List of papers on robust Bayesian optimization☆17Dec 2, 2021Updated 4 years ago
- Molecular Property Prediction using GP with a SOAP kernel☆22Nov 16, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Nov 30, 2022Updated 3 years ago
- Saarthi is a IVR-based voice assistant and chatbot. It converts speech to text, processes user input with OpenAI's ChatGPT API, and gener…☆11Jul 24, 2024Updated 2 years ago
- ☆13Jun 23, 2022Updated 4 years ago
- ☆11Dec 20, 2020Updated 5 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Feb 17, 2022Updated 4 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Jul 25, 2018Updated 7 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆24Feb 15, 2023Updated 3 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆26Apr 12, 2023Updated 3 years ago
- CVPR2023:Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection☆26Mar 27, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Scalable Multitask Representation Learning for Scene Classification☆12Jun 10, 2014Updated 12 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 years ago
- [NAACL(2019)] Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models☆11Apr 27, 2022Updated 4 years ago
- Estimators for Information Theoretic Functionals using Influence Functions☆11Apr 17, 2016Updated 10 years ago
- [WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation☆11Apr 27, 2022Updated 4 years ago
- Sparse principal component analysis as a nonlinear eigenproblem☆18Dec 17, 2020Updated 5 years ago
- ICCV2021 - training a post-hoc lightweight GAN-discriminator for open-set recognition☆142Jul 27, 2022Updated 3 years ago
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆33Aug 18, 2021Updated 4 years ago
- Repository containing a benchmark dataset for machine learning property prediction of photoswitch molecules: https://pubs.rsc.org/en/cont…☆90Mar 12, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.☆42Jun 30, 2023Updated 3 years ago
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆34Nov 10, 2023Updated 2 years ago
- ☆22Updated this week
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆41Sep 28, 2022Updated 3 years ago
- Code for "On Long-Tailed Phenomena in NMT".☆10Jan 10, 2021Updated 5 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Jul 6, 2023Updated 3 years ago