June 24, 2022, 2:30 p.m. | Synced

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In the new paper Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks, a research team from the Allen Institute for AI and the University of Washington introduces UNIFIED-IO, a neural model that achieves strong performance across a wide variety of vision, language, and multi-modal tasks without task- or modality-specific branches or fine-tuning.


The post Allen AI & UW Propose Unified-IO: A High-Performance, Task-Agnostic Model for CV, NLP, and Multi-Modal Tasks first appeared on Synced.

ai artificial intelligence cv deep-neural-networks io machine learning machine learning & data science ml multimodal learning nlp performance research technology unified model

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