125 citations · 349 across the 12 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CV2022★ 81 cited
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Xiaohan Ding, Xiangyu Zhang, Yizhuang Zhou +3
We revisit large kernel design in modern convolutional neural networks (CNNs). Inspired by recent advances in vision transformers (ViTs), in this paper, we demonstrate that using a…
cs.CL2022
A Likelihood Ratio based Domain Adaptation Method for E2E Models
Chhavi Choudhury, Ankur Gandhe, Xiaohan Ding +1
End-to-end (E2E) automatic speech recognition models like Recurrent Neural Networks Transducer (RNN-T) are becoming a popular choice for streaming ASR applications like voice assis…