4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 3 cited
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification
Keith G. Mills, Di Niu, Mohammad Salameh +6
Evaluating neural network performance is critical to deep neural network design but a costly procedure. Neural predictors provide an efficient solution by treating architectures as…
cs.CL2022
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization
Puyuan Liu, Chenyang Huang, Lili Mou
Text summarization aims to generate a short summary for an input text. In this work, we propose a Non-Autoregressive Unsupervised Summarization (NAUS) approach, which does not requ…
cs.CL2022★ 4 cited
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
Puyuan Liu, Xiang Zhang, Lili Mou
Sentence summarization aims at compressing a long sentence into a short one that keeps the main gist, and has extensive real-world applications such as headline generation. In prev…