PyTorch implementation for Robust Multi-view Clustering with Incomplete Information (TPAMI 2022).
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Jul 24, 2023 - Python
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false-negatives
Here are 10 public repositories matching this topic...
[ACM MM 2024] Pytorch Code for the paper "Robust Variational Contrastive Learning for Partially View-unaligned Clustering"
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Feb 7, 2026 - Python
Occupancy models that account for misclassifications.
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May 30, 2023 - HTML
Official implementation of "Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning"
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Jun 4, 2025 - Python
Dyslipidemia, a condition with abnormal lipid levels in the blood, significantly increases the risk of cardiovascular diseases like heart attacks and strokes. This project aims to build accurate models for predicting dyslipidemia using both machine learning (ML) and deep learning (DL) techniques. The primary focus is on maximizing recall to minimiz
data-science machine-learning deep-learning neural-networks xgboost predictive-modeling smote medical-ai medical-diagnosis false-negatives healthcare-ai dyslipidemia-prediction dyslipidemia cardiovascular-diseases-prediction recall-optimization
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Oct 9, 2024 - Jupyter Notebook
A zero result is not a verified absence. A harness that refuses one without a positive control.
python osint verification methodology no-dependencies false-negatives llm-evaluation positive-control
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Aug 26, 2026 - Python
Audit a live data source for the structures that make AI agents read an empty result as proof of absence. Deterministic, no LLM, no dependencies.
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Sep 20, 2026 - Python
data-science machine-learning data-visualization data-analysis false-positive random-forest-classifier pandas-python weights-and-biases false-negatives roc-auc-curve standard-scaler roc-auc-score
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Apr 11, 2026 - Jupyter Notebook
Controlled benchmark comparing standard InfoNCE and false-negative-aware contrastive learning for retrieval.
python machine-learning retrieval pytorch representation-learning model-evaluation synthetic-data contrastive-learning false-negatives infonce
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Jun 7, 2026 - Python
Exploratory study of where static-analyzer false negatives concentrate — it refuted its own hypothesis twice. All 61 labels public (CC BY 4.0) for re-grading. Labels were LLM-produced; ordering is a stated protocol, not provable from this export.
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Aug 7, 2026 - Python
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