Kaitao Song | DeepAI

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461 publications
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150 publications
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108 publications
Dongsheng Li
104 publications
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∙ 06/05/2023

End-to-End Word-Level Pronunciation Assessment with MASK Pre-training

Pronunciation assessment is a major challenge in the computer-aided pron...

0 Yukang Liang, et al. ∙

∙ 05/22/2023

DiffusionNER: Boundary Diffusion for Named Entity Recognition

In this paper, we propose DiffusionNER, which formulates the named entit...

0 Yongliang Shen, et al. ∙

∙ 03/30/2023

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace

Solving complicated AI tasks with different domains and modalities is a ...

0 Yongliang Shen, et al. ∙

∙ 03/14/2023

A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition

As a common way of emotion signaling via non-linguistic vocalizations, v...

0 Jinchao Li, et al. ∙

∙ 03/14/2023

Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection

With the global population aging rapidly, Alzheimer's disease (AD) is pa...

0 Jinchao Li, et al. ∙

∙ 12/08/2022

Learning Domain Invariant Prompt for Vision-Language Models

Prompt learning is one of the most effective and trending ways to adapt ...

0 Cairong Zhao, et al. ∙

∙ 11/14/2022

Towards Understanding Omission in Dialogue Summarization

Dialogue summarization aims to condense the lengthy dialogue into a conc...

0 Yicheng Zou, et al. ∙

∙ 06/26/2022

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One

Autoregressive generative models are commonly used, especially for those...

56 Yezhen Wang, et al. ∙

∙ 05/25/2022

Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling

Sentence scoring aims at measuring the likelihood score of a sentence an...

0 Kaitao Song, et al. ∙

∙ 10/08/2021

A study on the efficacy of model pre-training in developing neural text-to-speech system

In the development of neural text-to-speech systems, model pre-training ...

3 Guangyan Zhang, et al. ∙

∙ 08/29/2021

Analyzing and Mitigating Interference in Neural Architecture Search

Weight sharing has become the de facto approach to reduce the training c...

0 Jin Xu, et al. ∙

∙ 07/05/2021

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

Rap generation, which aims to produce lyrics and corresponding singing b...

0 Lanqing Xue, et al. ∙

∙ 05/30/2021

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search

While pre-trained language models (e.g., BERT) have achieved impressive ...

12 Jin Xu, et al. ∙

∙ 12/09/2020

SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint

Automatic song writing aims to compose a song (lyric and/or melody) by m...

4 Zhonghao Sheng, et al. ∙

∙ 07/21/2020

Neural Machine Translation with Error Correction

Neural machine translation (NMT) generates the next target token given a...

0 Kaitao Song, et al. ∙

∙ 04/27/2020

LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning

While pre-training and fine-tuning, e.g., BERT <cit.>, GPT-2 <cit.>, hav...

0 Kaitao Song, et al. ∙

∙ 04/20/2020

MPNet: Masked and Permuted Pre-training for Language Understanding

BERT adopts masked language modeling (MLM) for pre-training and is one o...

0 Kaitao Song, et al. ∙

∙ 05/07/2019

MASS: Masked Sequence to Sequence Pre-training for Language Generation

Pre-training and fine-tuning, e.g., BERT, have achieved great success in...

0 Kaitao Song, et al. ∙

∙ 03/18/2019

Generating Adversarial Examples With Conditional Generative Adversarial Net

Recently, deep neural networks have significant progress and successful ...

0 Ping Yu, et al. ∙

∙ 11/01/2018

Hybrid Self-Attention Network for Machine Translation

The encoder-decoder is the typical framework for Neural Machine Translat...

0 Kaitao Song, et al. ∙

∙ 06/13/2018

Double Path Networks for Sequence to Sequence Learning

Encoder-decoder based Sequence to Sequence learning (S2S) has made remar...

0 Kaitao Song, et al. ∙

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