2026
InTrain: Intrinsic Trainability for Zero-Cost Neural Architecture Search
CVPR 2026
Training-free neural architecture search promises efficient discovery of high-performance networks without costly training. However, existing zero-cost proxies rely on fragmented heuristics that fail to capture the fundamental question: what makes an architecture trainable? This paper introduces Int