2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 2 cited
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
Chenhui Deng, Zichao Yue, Cunxi Yu +4
While graph neural networks (GNNs) have gained popularity for learning circuit representations in various electronic design automation (EDA) tasks, they face challenges in scalabil…
cs.CL2023★ 2 cited
Binarized Neural Machine Translation
Yichi Zhang, Ankush Garg, Yuan Cao +4
The rapid scaling of language models is motivating research using low-bitwidth quantization. In this work, we propose a novel binarization technique for Transformers applied to mac…