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:
- Early exit ensembles☆12Dec 4, 2021Updated 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
- “Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition” (EMNLP 2022)☆16Feb 2, 2023Updated 3 years ago
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 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.
- Demo code for reconstructed images from fine-tuned autoencoders☆15Nov 2, 2020Updated 5 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆22Jan 21, 2021Updated 5 years ago
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Dec 30, 2021Updated 4 years 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
- 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
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆19Jun 8, 2021Updated 4 years ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Mar 3, 2021Updated 5 years ago
- Optimizing Hyperparameters with Conformal Quantile Regression☆11May 22, 2023Updated 2 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.
- 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
- Tensorflow 2 implementation of Contrastive Multiview Coding and Momentum Contrast☆16Oct 16, 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 2 years ago
- Multivariate Electricity Consumption Prediction with Extreme Learning Machine☆10Jun 25, 2018Updated 7 years ago
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆12Nov 21, 2023Updated 2 years ago
- 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
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- The Pytorch implementation of Network-In-Network☆11Jun 7, 2018Updated 7 years ago
- ☆17Apr 20, 2025Updated last year
- [NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"☆18Nov 9, 2021Updated 4 years ago
- (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
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 7 years ago
- 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
- ☆16Nov 19, 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.
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Sep 30, 2022Updated 3 years ago
- Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access☆16Mar 21, 2021Updated 5 years ago
- [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
- Active Learning with Partial Feedback, ICLR 2019☆11Apr 27, 2020Updated 6 years ago
- Fair Generative Modeling via Weak Supervision☆21Nov 22, 2022Updated 3 years ago
- My solution to the International Skin Imaging Collaboration (ISIC) Challenge 2018 to detect skin cancer from images of lesions using Deep…☆14Jan 31, 2019Updated 7 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆32Apr 27, 2021Updated 5 years ago