1 code implementation • 21 Jun 2022 • Zeyu Yan, Fei Wen, Peilin Liu
We prove that arbitrary points of the D-P tradeoff bound can be achieved by a simple linear interpolation between the outputs of a minimum MSE decoder and a specifically constructed perfect perceptual decoder.
1 code implementation • 4 Aug 2021 • Wei Wang, Fei Wen, Zeyu Yan, Peilin Liu
Toward answering this question, this work proposes a criterion for unsupervised denoising learning based on the optimal transport theory.
1 code implementation • 5 Jun 2021 • Zeyu Yan, Fei Wen, Rendong Ying, Chao Ma, Peilin Liu
This paper provides nontrivial results theoretically revealing that, \textit{1}) the cost of achieving perfect perception quality is exactly a doubling of the lowest achievable MSE distortion, \textit{2}) an optimal encoder for the "classic" rate-distortion problem is also optimal for the perceptual compression problem, \textit{3}) distortion loss is unnecessary for training a perceptual decoder.
no code implementations • EMNLP 2020 • Jianqiang Ma, Zeyu Yan, Shuai Pang, Yang Zhang, Jianping Shen
On the WikiSQL benchmark, state-of-the-art text-to-SQL systems typically take a slot-filling approach by building several dedicated models for each type of slots.
1 code implementation • COLING 2020 • Zeyu Yan, Jianqiang Ma, Yang Zhang, Jianping Shen
Text-to-SQL systems offers natural language interfaces to databases, which can automatically generates SQL queries given natural language questions.
no code implementations • COLING 2020 • Shuai Pang, Jianqiang Ma, Zeyu Yan, Yang Zhang, Jianping Shen
Recently, pre-trained language models such as BERT have shown state-of-the-art accuracies in text matching.