Christopher D. Manning
3 papers · Latest:
Artificial Intelligence
Shepherd: A Runtime Substrate Empowering Meta-Agents with a Formalized Execution Trace
Shepherd is a functional programming model for meta-agents that uses a Git-like execution trace for fast state forking and replay.
2605.10913
Computer VisionContrastive Learning of Medical Visual Representations from Paired Images and Text
ConVIRT is an unsupervised contrastive learning method that leverages paired medical images and their descriptive text to learn superior visual representations, significantly improving data efficiency and performance on medical imaging tasks.
2010.00747
Computer VisionZero-Shot Learning Through Cross-Modal Transfer
This paper presents a zero-shot learning model that recognizes both seen and unseen object classes by leveraging semantic information from large text corpora without requiring labeled images or manual semantic features.
1301.3666
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