Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019
☆13Apr 25, 2019Updated 7 years ago
Alternatives and similar repositories for uncertainty_ICLR
Users that are interested in uncertainty_ICLR 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 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Infer…☆14Feb 16, 2022Updated 4 years ago
- Early exit ensembles☆12Dec 4, 2021Updated 4 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Adversarial Active Learning for Deep Networks☆14Oct 16, 2018Updated 7 years ago
- Tools for robustness evaluation in interpretability methods☆10Jun 25, 2021Updated 4 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.
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 5 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆36Oct 19, 2024Updated last year
- Illustration of counterfactual inference following Ferenc Huszar example☆13Aug 15, 2025Updated 10 months ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆37Aug 25, 2023Updated 2 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆79Oct 3, 2023Updated 2 years ago
- pytorch implementation affinity loss☆11Feb 21, 2019Updated 7 years ago
- Official PyTorch code for UAI 2023 paper "Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via En…☆12Nov 10, 2023Updated 2 years ago
- A high-performance library for graph algorithms written in Java. It contains a wide collection of optimized algorithms and data structure…☆22Jun 3, 2026Updated last week
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Mar 3, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Optimizing Hyperparameters with Conformal Quantile Regression☆11May 22, 2023Updated 3 years ago
- Last-layer Laplace approximation code examples☆82Oct 18, 2021Updated 4 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆25Jan 25, 2020Updated 6 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Dec 27, 2019Updated 6 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆35Jun 19, 2020Updated 5 years ago
- Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)☆11Jul 18, 2022Updated 3 years ago
- JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"☆19Jun 10, 2023Updated 3 years ago
- (KDD’24) Using Self-Supervised Learning Can Improve Model Fairness.☆11Jun 5, 2024Updated 2 years ago
- Unofficial pytorch implementation of 'SelectiveNet: A Deep Neural Network with an Integrated Reject Option' [Geifman+, ICML2019]☆20Oct 5, 2021Updated 4 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.
- This project attacked widely-used EEG spellers, e.g., P300 spellers and SSVEP spellers, with adversarial perturbation templates. We cons…☆14Jul 14, 2020Updated 5 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Apr 23, 2024Updated 2 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Dec 11, 2021Updated 4 years ago
- The Pytorch implementation of Network-In-Network☆11Jun 7, 2018Updated 8 years ago
- Enhancing Efficiency in Multidevice Federated Learning through Data Selection☆13Apr 15, 2024Updated 2 years ago
- [NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"☆18Nov 9, 2021Updated 4 years ago
- ☆15Feb 12, 2025Updated last year
- (HotMobile'24) Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing☆17Jan 22, 2024Updated 2 years ago
- Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317☆16Oct 31, 2018Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Official Pytorch implementation of model in "Tensor Networks for Medical Image Classification", Raghavendra Selvan & Erik Dam, MIDL 2020☆27Oct 23, 2022Updated 3 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Oct 23, 2022Updated 3 years ago
- (WACV'24) Kaizen: Practical self-supervised continual learning with continual fine-tuning☆17Oct 29, 2024Updated last year
- A curated list of resources related to temporal embeddings☆15Dec 14, 2018Updated 7 years ago
- ☆16Nov 19, 2021Updated 4 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Sep 30, 2022Updated 3 years ago
- ☆13Jan 9, 2018Updated 8 years ago