Intel Labs researchers will present eleven papers at conference workshops as part of CVPR 2025. These works include a framework for systematic hierarchical analysis of vision model representations; a flexible graph-learning framework for fine-grained keystep recognition; and a novel interpretability metric that measures how consistently individual attention heads in CLIP models align with specific concepts
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- Practical Deployment of LLMs for Network Traffic Classification
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Neural networks news
Intel NN News
- Practical Deployment of LLMs for Network Traffic Classification - Part 1
Additional contributing authors: Rui Li, Vishakh Nair, Mrittika Ganguli Executive SummaryThe […]
- Intel Labs Presents Latest Machine Learning Research Among Eight Papers at ICML 2025
Intel Labs is excited to present six works at this year's ICML conference in Vancouver Canada, […]
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
Souvik Kundu is a Staff Research Scientist at Intel Labs, leading scalable and efficient AI […]
- Practical Deployment of LLMs for Network Traffic Classification - Part 1
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