☆12Sep 11, 2022Updated 3 years ago
Alternatives and similar repositories for IntraOrderPreservingCalibration
Users that are interested in IntraOrderPreservingCalibration are comparing it to the libraries listed below
Sorting:
- ☆16Sep 27, 2021Updated 4 years ago
- ☆32Jun 12, 2025Updated 9 months ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆26Jun 10, 2023Updated 2 years ago
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆23Nov 4, 2022Updated 3 years ago
- code released for our TIP 2021 paper "Adversarial Domain Adaptation with Prototype-based Normalized Output Conditioner"☆15May 24, 2023Updated 2 years ago
- ☆21Mar 25, 2023Updated 2 years ago
- Local Temperature Scaling for Probability Calibration☆22Nov 26, 2021Updated 4 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Jun 14, 2021Updated 4 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Jan 10, 2023Updated 3 years ago
- Calibration of Convolutional Neural Networks☆172Apr 19, 2023Updated 2 years ago
- Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…☆21Nov 3, 2022Updated 3 years ago
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)☆19Sep 8, 2022Updated 3 years ago
- [ICCV 2021] Code release for "Semantic Concentration for Domain adaptation"☆22Aug 23, 2021Updated 4 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Aug 26, 2021Updated 4 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Nov 7, 2021Updated 4 years ago
- A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.☆15Dec 14, 2022Updated 3 years ago
- ☆25Nov 4, 2023Updated 2 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆32Nov 22, 2022Updated 3 years ago
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆29Jun 4, 2024Updated last year
- ☆38Nov 13, 2020Updated 5 years ago
- Pytorch implementation for "Point Cloud Super Resolution with Adversarial Residual Graph Networks" https://arxiv.org/abs/1908.02111☆10Mar 9, 2022Updated 4 years ago
- CFG-GAN: Composite functional gradient learning of generative adversarial models☆15Jul 9, 2020Updated 5 years ago
- ☆13Apr 1, 2022Updated 3 years ago
- Implementation of CVPR 2022 paper "Learning Distinctive Margin toward Active Domain Adaptation”☆21Apr 3, 2022Updated 3 years ago
- [ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation☆11Jan 2, 2025Updated last year
- Official Pytorch implementation of ACIDS, ECCV 2020 "Learning to Cluster under Domain Shift"☆15Dec 10, 2020Updated 5 years ago
- [ECCV 2024] Official implementation of "Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset"☆11Aug 13, 2024Updated last year
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- JBNU MetaVerse☆14Dec 2, 2021Updated 4 years ago
- Code for MERMAID : Metaphor Generation with Symbolism and Discriminative Decoding☆11May 2, 2022Updated 3 years ago
- Code and dataset for Polyglot Prompting: Multilingual Multitask Prompt Training.☆18Dec 7, 2022Updated 3 years ago
- Officially unofficial PyTorch code for the NIPS paper 'Natural-Parameter Networks: A Class of Probabilistic Neural Networks'☆11Sep 28, 2021Updated 4 years ago
- This is an Uncertainty Study Arxiv☆12Mar 4, 2025Updated last year
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Dec 17, 2022Updated 3 years ago
- Official code and dataset for our NAACL 2024 paper: DialogCC: An Automated Pipeline for Creating High-Quality Multi-modal Dialogue Datase…☆13Jun 24, 2024Updated last year
- ☆16Nov 19, 2021Updated 4 years ago
- [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision☆26Sep 2, 2021Updated 4 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆49Aug 17, 2021Updated 4 years ago
- NN 2023☆23Nov 9, 2022Updated 3 years ago