the archive
#weight sharing
2 resultscs.LG2019
Hybrid Low-order and Higher-order Graph Convolutional Networks
FangYuan Lei, Xun Liu, QingYun Dai +3
The paper introduces a hybrid graph convolutional network that combines low‑order and high‑order neighborhood information using weight sharing and a fusion pooling layer to reduce…
#graph convolutional networks#higher-order neighborhoods#weight sharing#fusion pooling
cs.LG2019
Random Search and Reproducibility for Neural Architecture Search
Liam Li, Ameet Talwalkar
The paper introduces random search baselines—including early‑stopping and a weight‑sharing variant—for neural architecture search, demonstrates that they match or exceed state‑of‑t…
#neural architecture search#random search#weight sharing#reproducibility