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GenCAR not only enhances candidate recovery in OOD recommendations but also guarantees control over false discovery rates, a critical factor often overlooked in existing methods.
Achieving a 23-52x speedup in 3D urban modeling, SiZeUp leverages ordinal depth consistency to transform aerial imagery into accurate proxies without the pitfalls of traditional depth estimation.
ProME achieves unprecedented group robustness by aligning environment selection directly with the deployed predictor, leading to superior worst-group accuracy.
