Improving Calibration for Long-Tailed Recognition (CVPR2021)
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Nov 10, 2021 - Python
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confidence-calibration
Here are 13 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
[IEEE TMI] The official implementation of the paper "Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles".
machine-learning pytorch medical-imaging ensemble-learning uncertainty-quantification diffusion-models confidence-calibration trustworthy-ai
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Jul 22, 2025 - Python
[ACL 2025] Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?.
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Jun 5, 2025 - Python
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
[ICCV 2025 CVAMD] The official implementation of the paper "Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models".
machine-learning reinforcement-learning pytorch medical-imaging uncertainty-quantification confidence-calibration trustworthy-ai large-language-models prompt-engineering multimodal-large-language-models
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Jul 22, 2025 - Python
[MICCAI 2025] The official implementation of the paper "Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification".
machine-learning pytorch medical-imaging uncertainty-quantification fairness-ml responsible-ai confidence-calibration trustworthy-ai large-language-models multimodal-large-language-models
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Jul 22, 2025 - Python
Code for enhancing Conformal Prediction using Temperature Scaling. Explore more of our work at:
classification uncertainty-quantification icml conformal-prediction temperature-scaling confidence-calibration icml-2025
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Jun 13, 2025 - Python
Evaluate high school math reasoning in LLMs with baseline and Chain-of-Thought (CoT) prompts. Includes confidence calibration metrics, JSON output parsing, and reliability analysis.
openai gpt json-parsing model-evaluation interpretability reliability-analysis confidence-calibration llm prompt-engineering chain-of-thought-reasoning safe-ai
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May 29, 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
The repository of our paper about confidence calibration on RAG.
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Jun 7, 2025 - Python
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