6 citations · 16 across the 5 of their papers we have counts for
Showing 2023 · cs.LGShow all
3 papers · 2 filters
cs.LG2023★ 3 cited
LEMON: Lossless model expansion
Yite Wang, Jiahao Su, Hanlin Lu +6
Scaling of deep neural networks, especially Transformers, is pivotal for their surging performance and has further led to the emergence of sophisticated reasoning capabilities in f…
cs.LG2023★ 2 cited
NTK-SAP: Improving neural network pruning by aligning training dynamics
Yite Wang, Dawei Li, Ruoyu Sun
Pruning neural networks before training has received increasing interest due to its potential to reduce training time and memory. One popular method is to prune the connections bas…
cs.LG2023★ 6 cited
Balanced Training for Sparse GANs
Yite Wang, Jing Wu, Naira Hovakimyan +1
Over the past few years, there has been growing interest in developing larger and deeper neural networks, including deep generative models like generative adversarial networks (GAN…