A Single Model Can Now Teach Itself Through Patch Swaps
Training a strong image classifier usually means training two networks, a large teacher and a smaller student that learns to imitate it. That doubles the compute, doubles the storage, and leaves you guessing which teacher actually fits your student best.…
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