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Learning Abstract Visual Reasoning via Task Decomposition: A Case Study in Raven Progressive Matrices vs Replicate-AI model GFPGAN can help restore old photos
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Learning Abstract Visual Reasoning via Task Decomposition: A Case Study in Raven Progressive Matrices
One of the challenges in learning to perform abstract reasoning is that problems are often posed as monolithic tasks, with no intermediate subgoals.
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Replicate-AI model GFPGAN can help restore old photos
Replicate – Run open-source machine learning models with a cloud API
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