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Showing 1 to 3 of 3 for “"Semantic embeddings"”.

  1. Conditional Neural Language Models for Multimodal Learning and Natural Language Understanding

    … introduce a LSTM encoder for learning visual-semantic embeddings for ranking the relevance of text to images in a joint embedding space. Next we introduce three log-bilinear models for generating image descriptions that integrate both additive and multiplicative interactions. Beyond image …

    toronto-retro Repository record for Conditional Neural Language Models for Multimodal Learning and Natural Language Understanding (opens in a new tab)

  2. IMPROVING PERFORMANCE OF INTRUSION DETECTION SYSTEMS FOR SOFTWARE-DEFINED NETWORKS

    … a novel alert-based system that leverages semantic embeddings and prototypical networks to detect multi-stage attacks across different operational domains. By addressing domain shift challenges, CrossAlert ensures high performance and adaptability in diverse environments. The effectiveness …

    temple Repository record for IMPROVING PERFORMANCE OF INTRUSION DETECTION SYSTEMS FOR SOFTWARE-DEFINED NETWORKS (opens in a new tab)

  3. Modelos de aprendizaje profundo y procesamiento de lenguaje natural para el análisis de tópicos y emociones en YouTube sobre el conflicto palestino-israelí

    … un enfoque de análisis no supervisado mediante embeddings generados con el modelo E5-Large-v2, una arquitectura basada en Transformers optimizada para tareas semánticas, junto con el algoritmo de agrupación K-means, para identificar tópicos temáticos diferenciados por categoría de canal. …

    u-ean Repository record for Modelos de aprendizaje profundo y procesamiento de lenguaje natural para el análisis de tópicos y emociones en YouTube sobre el conflicto palestino-israelí (opens in a new tab)