Improving Calibration for Long-Tailed Recognition (CVPR2021)
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Nov 10, 2021 - Python
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confidence-calibration
Here are 49 public repositories matching this topic...
[ACL 2026 Main] VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning
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Apr 13, 2026 - Python
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
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
Investigation of how noise perturbations impact neural network calibration and generalisation
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Mar 26, 2024 - Shell
[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
CW-BASS v2: saturation-aware, reliability-gated pseudo-label selection for semi-supervised semantic segmentation under foundation-model (DINOv2) teachers
computer-vision deep-learning pytorch semi-supervised-learning self-training semantic-segmentation pascal-voc cityscapes ade20k pseudo-labeling unimatch confidence-calibration foundation-models dinov2
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Aug 18, 2026 - 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
Single-file Python library for scanned-document extraction: measured page quality drives adaptive preprocessing, pluggable OCR/VLM backends, schema-driven extraction with bbox provenance, calibrated confidence, and an eval harness. Zero required dependencies.
python pdf opencv ocr computer-vision tesseract provenance information-extraction zero-dependency vlm image-preprocessing document-processing pdf-extraction paddleocr document-ai single-file-library confidence-calibration llm intelligent-document-processing evaluation-harness
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Aug 18, 2026 - 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
Dependency-free decision-support tool for comparing job offers and career paths with relative scoring, rule checks, calibrated uncertainty, and validation sweeps.
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May 6, 2026 - JavaScript
Uncertainty & Confidence Management (UCM): A healthcare AI benchmark suite for uncertainty recognition, justification boundaries, confidence calibration, proportionate action, and reassessment.
benchmark-suite responsible-ai medical-ai healthcare-ai confidence-calibration ai-evaluation clinical-reasoning llm-evaluation ai-benchmarking healthcare-ai-evaluation-framework uncertainty-management healthcare-ai-benchmarks
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Jul 14, 2026
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
Trust layer for document→JSON extraction & AI agents: calibrated per-field confidence + source grounding + accept/review abstention on any OCR/VLM. Ships VerifyDocBench, a novel grounding-conditioned conformal method, and an MCP server.
python pdf ocr mcp information-extraction structured-extraction conformal-prediction rag grounding pydantic document-ai confidence-calibration selective-prediction llm hallucination-detection
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Aug 12, 2026 - Python
TACT: signed, label-free confidence weighting for self-consistency voting — with the thin-window boundary (2.5–7.5% of items) that explains why six other designs died
reproducible-research uncertainty-quantification self-consistency label-free negative-results confidence-calibration llm chain-of-thought llm-reasoning inference-time rank-statistics
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Aug 17, 2026 - Python
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