Improving Calibration for Long-Tailed Recognition (CVPR2021)
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Nov 10, 2021 - Python
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confidence-calibration
Here are 7 public repositories matching this topic...
PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
uncertainty-quantification failure-prediction confidence-estimation selective-classification confidence-calibration flat-minima misclassification-detection
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Jun 10, 2023 - Python
Investigation of how noise perturbations impact neural network calibration and generalisation
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Mar 26, 2024 - Shell
Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects.
machine-learning validation ai deep-learning dataset neural-networks traceability fairness data-quality robustness fairness-ai explainability fairness-ml uncertainty-calibration confidence-calibration robustness-ml robustness-ai
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Dec 10, 2024 - Python
The repository of our paper about confidence calibration on RAG.
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Jan 5, 2025 - Python
Python framework for high quality confidence estimation of deep neural networks, providing methods such as confidence calibration and ordinal ranking
python deep-neural-networks deep-learning pytorch python-framework confidence-estimation mahine-learning confidence-calibration confidence-ranking
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Dec 25, 2024 - Python
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