DeepAI AI Chat
Log In Sign Up

Massive Styles Transfer with Limited Labeled Data

06/03/2019
by   Hongyu Zang, et al.
Peking University
0

Language style transfer has attracted more and more attention in the past few years. Recent researches focus on improving neural models targeting at transferring from one style to the other with labeled data. However, transferring across multiple styles is often very useful in real-life applications. Previous researches of language style transfer have two main deficiencies: dependency on massive labeled data and neglect of mutual influence among different style transfer tasks. In this paper, we propose a multi-agent style transfer system (MAST) for addressing multiple style transfer tasks with limited labeled data, by leveraging abundant unlabeled data and the mutual benefit among the multiple styles. A style transfer agent in our system not only learns from unlabeled data by using techniques like denoising auto-encoder and back-translation, but also learns to cooperate with other style transfer agents in a self-organization manner. We conduct our experiments by simulating a set of real-world style transfer tasks with multiple versions of the Bible. Our model significantly outperforms the other competitive methods. Extensive results and analysis further verify the efficacy of our proposed system.

READ FULL TEXT
10/13/2021

Multiple Style Transfer via Variational AutoEncoder

Modern works on style transfer focus on transferring style from a single...
02/28/2022

Name Your Style: An Arbitrary Artist-aware Image Style Transfer

Image style transfer has attracted widespread attention in the past few ...
03/27/2017

StyleBank: An Explicit Representation for Neural Image Style Transfer

We propose StyleBank, which is composed of multiple convolution filter b...
04/27/2021

SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer

Text style transfer aims to change the style of sentences while preservi...
03/04/2022

Style-ERD: Responsive and Coherent Online Motion Style Transfer

Motion style transfer is a common method for enriching character animati...
04/29/2021

Towards Harmonized Regional Style Transfer and Manipulation for Facial Images

Regional facial image synthesis conditioned on semantic mask has achieve...
10/08/2020

TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling

We present a novel approach to the problem of text style transfer. Unlik...

Code Repositories

MAST

Codes for "Massive Styles Transfer with Limited Labeled Data"


view repo