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Fudan University
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CORAM achieves up to 1.35 points of performance improvement in model merging, redefining the boundaries of orthogonal transformations in AI.
Forget dropout – Gaussian Chaos Noise offers provable control over representation deformation and boosts calibration in deep networks.