MNIST-Gen automatically builds MNIST-style datasets for user-defined categories using CLIP semantic scoring, reinforcement learning, and hierarchical category definitions, demonstrated on Tree-MNIST and Food-MNIST.
Food-101–mining dis- criminative components with random forests,
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MNIST-Gen: A Modular MNIST-Style Dataset Generation Using Hierarchical Semantics, Reinforcement Learning, and Category Theory
MNIST-Gen automatically builds MNIST-style datasets for user-defined categories using CLIP semantic scoring, reinforcement learning, and hierarchical category definitions, demonstrated on Tree-MNIST and Food-MNIST.