10 citations · 11 across the 4 of their papers we have counts for
4 papers
Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR)
Guo-qing Jiang, Jinlong Liu, Zixiang Ding +2
As models for nature language processing (NLP), computer vision (CV) and recommendation systems (RS) require surging computation, a large number of GPUs/TPUs are paralleled as a la…
Transforming the Latent Space of StyleGAN for Real Face Editing
Heyi Li, Jinlong Liu, Xinyu Zhang +3
Despite recent advances in semantic manipulation using StyleGAN, semantic editing of real faces remains challenging. The gap between the space and the + space demands an und…
Investigating Label Bias in Beam Search for Open-ended Text Generation
Liang Wang, Jinlong Liu, Jingming Liu
Beam search is an effective and widely used decoding algorithm in many sequence-to-sequence (seq2seq) text generation tasks. However, in open-ended text generation, beam search is…
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters
Jinlong Liu, Guoqing Jiang, Yunzhi Bai +2
As deep neural networks (DNNs) achieve tremendous success across many application domains, researchers tried to explore in many aspects on why they generalize well. In this paper,…