4 accepted papers
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
Recently, Vision Transformer (ViT) has achieved remarkable success in several computer vision tasks. The progresses are highly relevant to the architecture design, then it is worthwhile to propose Transformer Architecture Search (TAS) to search for better ViTs automatically. However, current TAS met…
This article presents a novel transformable wheeled robot with three motion modes. Based on the four-bar mechanism design, the transformable wheel can transform into CW (clockwise) legged wheel mode and CCW (counterclock-wise) legged wheel mode from the circular wheel. Both legged wheel modes achiev…
Based on the relaxed search space, differential architecture search (DARTS) is efficient in searching for a high-performance architecture. However, the unbalanced competition among operations that have different trainable parameters causes the model collapse. Besides, the inconsistent structures in…