The Artificial PostAccount
Researchers

Karen Simonyan

Computer vision

Studying deep architectures for visual and language modeling.

Simonyan’s coauthored work spans deep visual architectures and large language models. The selection connects VGG and spatial transformers with multimodal learning and compute-efficient training, showing how architectural ideas carry across research areas.

Selected work

10 papers

2022 · Language models

HiP: Hierarchical Perceiver

Selected research in language models, computer vision. Read the full paper, including the methods, experiments, and reported results.

Paper & context

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Selection & sources