Search Results for author: Yun Ma

Found 8 papers, 5 papers with code

Exploring Non-Autoregressive Text Style Transfer

1 code implementation EMNLP 2021 Yun Ma, Qing Li

In this paper, we explore Non-AutoRegressive (NAR) decoding for unsupervised text style transfer.

Contrastive Learning Knowledge Distillation +3

Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer

1 code implementation EMNLP 2021 Yun Ma, Yangbin Chen, Xudong Mao, Qing Li

In this paper, we propose a collaborative learning framework for unsupervised text style transfer using a pair of bidirectional decoders, one decoding from left to right while the other decoding from right to left.

Knowledge Distillation Style Transfer +2

Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning

no code implementations14 Jan 2022 Jialiang Han, Yun Ma, Yudong Han

Federated learning (FL) is an emerging promising privacy-preserving machine learning paradigm and has raised more and more attention from researchers and developers.

Federated Learning

Multi-Facet Recommender Networks with Spherical Optimization

1 code implementation27 Mar 2021 Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng

Metric learning has been proposed to capture user-item interactions from implicit feedback, but existing methods only represent users and items in a single metric space, ignoring the fact that users can have multiple preferences and items can have multiple properties, which leads to potential conflicts limiting their performance in recommendation.

Metric Learning Recommendation Systems +1

$C^3DRec$: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era

no code implementations13 Jan 2021 Jialiang Han, Yun Ma

The reason is that state-of-the-art recommendation systems require to gather and process the user data in centralized servers but the interaction behaviors data used for temporal recommendation are usually non-transactional data that are not allowed to gather without the explicit permission of users according to GDPR.

Information Retrieval Recommendation Systems

MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization

no code implementations29 Sep 2020 Yangbin Chen, Yun Ma, Tom Ko, Jian-Ping Wang, Qing Li

MetaMix can be integrated with any of the MAML-based algorithms and learn the decision boundaries generalizing better to new tasks.

Few-Shot Learning Transfer Learning

Virtual Mixup Training for Unsupervised Domain Adaptation

4 code implementations10 May 2019 Xudong Mao, Yun Ma, Zhenguo Yang, Yangbin Chen, Qing Li

Existing methods only impose the locally-Lipschitz constraint around the training points while miss the other areas, such as the points in-between training data.

Unsupervised Domain Adaptation

Moving Deep Learning into Web Browser: How Far Can We Go?

2 code implementations27 Jan 2019 Yun Ma, Dongwei Xiang, Shuyu Zheng, Deyu Tian, Xuanzhe Liu

Recently, several JavaScript-based deep learning frameworks have emerged, making it possible to perform deep learning tasks directly in browsers.

Software Engineering

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