AlvinWen428 / FeatureCPLinks
The official codebase for Predictive Inference with Feature Conformal Prediction
☆36Updated 2 years ago
Alternatives and similar repositories for FeatureCP
Users that are interested in FeatureCP are comparing it to the libraries listed below
Sorting:
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆68Updated 9 months ago
- Evidential Deep Learning in PyTorch☆63Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆62Updated 6 months ago
- ☆51Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- ☆109Updated 4 years ago
- Large-scale uncertainty benchmark in deep learning.☆63Updated 3 months ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆143Updated 2 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 9 months ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆28Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆20Updated 3 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Updated 2 years ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆29Updated 5 years ago
- Diffusion Models for Causal Discovery☆85Updated 2 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Updated last year
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆38Updated 4 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Updated 4 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆424Updated this week
- Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neura…☆27Updated last year
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆119Updated last year
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆12Updated last year
- Implementation of Deep evidential regression paper☆58Updated 4 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- Experiments for Neural Flows paper☆97Updated 3 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated last year
- C-Mixup for NeurIPS 2022☆73Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago