Unverified50% confidenceFactExact time
Li et al. found that after projecting all parameters onto a random low-dimensional subspace and then optimizing, many classification tasks can converge to accuracy close to that of full-parameter training with only hundreds to thousands of degrees of freedom.
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10/9/2026
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