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contrastive-learning

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Compile and explore a curated list of 350+ loss functions with papers, formulas, and code across deep learning and machine learning fields.

  • Updated Sep 21, 2026

A custom-built deep learning system for multimodal malware detection. It features an attention-based BiLSTM for threat intelligence extraction and a CNN for visual malware representations, joined via cross-modal contrastive learning to achieve MITRE ATT&CK-aligned explainability.

  • Updated Sep 21, 2026

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