133 citations · 510 across the 36 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 14 cited
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection
Lewei Yao, Hang Xu, Wei Zhang +2
The state-of-the-art object detection method is complicated with various modules such as backbone, feature fusion neck, RPN and RCNN head, where each module may have different desi…
cs.LG2019★ 68 cited
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
Han Shi, Renjie Pi, Hang Xu +3
Neural Architecture Search (NAS) has shown great potentials in finding better neural network designs. Sample-based NAS is the most reliable approach which aims at exploring the sea…
cs.CV2019★ 18 cited
MANAS: Multi-Agent Neural Architecture Search
Vasco Lopes, Fabio Maria Carlucci, Pedro M Esperança +6
The Neural Architecture Search (NAS) problem is typically formulated as a graph search problem where the goal is to learn the optimal operations over edges in order to maximise a g…