We propose a novel modular framework that learns to dynamically mix low-rank adapters (LoRAs) to improve visual analogy learning, enabling flexible and generalizable image edits based on example transformations.
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- Python
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visual-analogies
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Intro to Problem Solving -- notes
testing debugging types algorithms inheritance classes problem-solving aggregation propositional-logic heuristics association number-theory blackbox externalization spatial-reasoning lateral-thinking recursive-algorithms verbal-analogies verbal-reasoning visual-analogies
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