Improving Calibration for Long-Tailed Recognition (CVPR2021)
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Nov 10, 2021 - Python
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confidence-calibration
Here are 20 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
[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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Dec 11, 2025 - Python
[ACL 2025] Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?.
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Apr 14, 2026 - Python
[IEEE Trans. Med. Imaging] 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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Dec 11, 2025 - 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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Mar 13, 2026 - Python
[ACL 2026 Main] VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning
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Apr 13, 2026 - 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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Dec 11, 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
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
Adaptive movement rehabilitation with confidence calibration — novel Movement Calibration Gap metric combining real-time pose estimation with metacognitive self-assessment
react typescript spaced-repetition biomechanics human-computer-interaction pose-estimation rehabilitation privacy-preserving adaptive-systems tensorflow-js mediapipe movement-analysis kinesiology confidence-calibration
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Mar 22, 2026 - TypeScript
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
Multimodal deepfake detection with explainable AI, robustness validation, and calibrated trust scoring for real-world media.
react computer-vision serverless audio-analysis deepfake-detection confidence-calibration multimodal-ai robustness-testing media-authentication
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Mar 15, 2026 - TypeScript
FADE: AI that deliberately forgets like humans do, using memory degradation as intrinsic confidence signal. Reduces hallucinations, enables epistemic humility, solves stateful deployment. Conceptual proposal seeking implementation and validation.
machine-learning language-models research-proposal rag ai-alignment confidence-calibration retrieval-augmented-generation memory-architecture epistemic-humility
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Nov 25, 2025 - Python
The repository of our paper about confidence calibration on RAG.
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Jun 7, 2025 - Python
Here’s a complete Streamlit app scaffold that lets you: Enter your Gemini API key in the sidebar Upload up to four MRI images Invoke Gemini’s advanced image‐analysis (labels, objects, text) View the raw JSON analytics directly in the app
deep-learning confidence-calibration mechanistic-interpretability representation-stability metacognition-ai self-modeling neural-state-monitoring internal-state-estimation cognitive-diagnostics latent-probing
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Jul 15, 2025 - Python
yuragi — LLM Confidence Fragility Analyzer. Perturbation-driven hallucination detection with workshop-grade real benchmarks (TruthfulQA n=412 ensemble AUC 0.73, TriviaQA n=200 confidence-inversion AUC 0.75).
python nlp cli machine-learning evaluation stress-testing psychology uncertainty-quantification ai-safety confidence explainability model-testing confidence-calibration llm prompt-engineering llm-evaluation hallucination-detection perturbation-testing
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Apr 20, 2026 - Python
🔍 Analyze the mathematical reasoning abilities of the Mistral-7B model using diverse prompting techniques on multi-step math problems.
deep-learning openai course-project gpt json-parsing zero-shot interpretability reliability-analysis majority-voting huggingface-transformers confidence-calibration large-language-models llm prompt-engineering chain-of-thought-reasoning safe-ai llm-evaluation mistral-7b
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Apr 24, 2026 - HTML
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