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
- Out-of-distribution Detection via Generation - NeurIPS 2019☆18Oct 5, 2019Updated 6 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- 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
- ☆12Aug 20, 2026Updated last month
- [CIKM-2024] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"☆20Aug 14, 2024Updated 2 years ago
- NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension☆20Feb 21, 2025Updated last year
- Fast Numba-enabled CPU and GPU computations of Earth Mover's (scipy.stats.wasserstein_distance) and Euclidean distances.☆18Jan 3, 2025Updated last year
- 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
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- 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
- This repo contains the datasets used for the paper The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials.☆21Aug 30, 2022Updated 4 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
- Elucidate and visualise a compound's mechanism of action by combining structure-based target prediction with gene expression-based causal…☆14Feb 11, 2023Updated 3 years ago
- ☆13Jun 23, 2022Updated 4 years ago
- ☆12Dec 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 8 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆24Feb 15, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [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
- Modelling the Multiwavelength Variability of Mrk-335 using Gaussian processes☆12May 30, 2022Updated 4 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 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 4 years ago
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆10Nov 10, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- General Discussion☆12May 22, 2019Updated 7 years ago
- C4RepSet: Representative Subset from C4 data for Training Pre-trained LMs☆11Jan 13, 2023Updated 3 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Apr 16, 2021Updated 5 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Apr 8, 2018Updated 8 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
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆34Nov 10, 2023Updated 2 years ago
- Chemios Framework 👨🏾🔬: Accelerating Science through Automation☆37Dec 10, 2021Updated 4 years ago