Repository containing code for the paper: Fixing Overconfidence in Dynamic Neural Networks
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Dec 7, 2023 - Python
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overconfidence
Here are 6 public repositories matching this topic...
A library for calibrating and visualizing the Softmax function for probabilistic interpretation.
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Jun 26, 2025 - Python
Safety before certainty: an open-source public-data stress-test showing a structured evidence-sufficiency prompt cuts unsafe overconfident clinical answers across four frontier LLMs (Opus 4.8, GPT-5.5, Gemini 3.5 Flash, Grok 4.3), with matched circularity controls and blinded clinician judge-validation.
benchmarking uncertainty healthcare reproducibility ai-safety robustness clinical-decision-support clinical-nlp medical-ai abstention overconfidence prompt-engineering llm-evaluation llm-as-a-judge healthbench
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Jul 21, 2026 - Python
Measuring and fixing DNN overconfidence on MNIST with ECE and temperature scaling.
machine-learning dnn mnist neural-networks temperature-scaling overconfidence expected-calibration-error
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Jul 23, 2026 - Python
AI agent metacognition skills distilled from David Dunning's Self-Insight (2005): calibration, Dunning–Kruger awareness, the outside view, and feedback discipline for Claude Code, Codex, and compatible AI agents.
skills calibration psychology codex ai-agents metacognition self-assessment cognitive-bias dunning-kruger overconfidence confirmation-bias ai-tools prompt-engineering agent-skills claude-code llm-reliability agent-reliability planning-fallacy david-dunning outside-view
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Jul 13, 2026 - Shell
Almost everyone is overconfident, and almost no one keeps score. Weather forecasters and professional superforecasters are well calibrated for exactly one reason: they write predictions down with probabilities and get graded. This app gives you the same loop with zero ceremony.
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Aug 10, 2026 - TypeScript
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