activity
20182026
most citedSpeech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning

14 citations · 39 across the 11 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 14 cited

Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning

Dongwei Jiang, Wubo Li, Miao Cao +2

Self-supervised visual pretraining has shown significant progress recently. Among those methods, SimCLR greatly advanced the state of the art in self-supervised and semi-supervised…

eess.AS2020★ 4 cited

DiDiSpeech: A Large Scale Mandarin Speech Corpus

Tingwei Guo, Cheng Wen, Dongwei Jiang +8

This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. It consists of about 800 hours of speech data at 48kHz sampling rate from 6000 speakers and the…

cs.CL2020

Adversarial Multi-Binary Neural Network for Multi-class Classification

Haiyang Xu, Junwen Chen, Kun Han +1

Multi-class text classification is one of the key problems in machine learning and natural language processing. Emerging neural networks deal with the problem using a multi-output…

cs.CL2020

Learning Syntactic and Dynamic Selective Encoding for Document Summarization

Haiyang Xu, Yahao He, Kun Han +2

Text summarization aims to generate a headline or a short summary consisting of the major information of the source text. Recent studies employ the sequence-to-sequence framework t…

cs.CL2020★ 1 cited

Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization

Haiyang Xu, Yun Wang, Kun Han +3

Abstractive text summarization is a challenging task, and one need to design a mechanism to effectively extract salient information from the source text and then generate a summary…