Search Results for author: Chen Zeng

Found 11 papers, 6 papers with code

Invisible Watermarking for Audio Generation Diffusion Models

2 code implementations22 Sep 2023 Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei

Diffusion models have gained prominence in the image domain for their capabilities in data generation and transformation, achieving state-of-the-art performance in various tasks in both image and audio domains.

Audio Generation

Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery

1 code implementation28 May 2023 Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu

Previous methods suffer from a coupling of pseudo label disambiguation and representation learning, that is, the reliability of pseudo labels relies on representation learning, and representation learning is restricted by pseudo labels in turn.

Intent Discovery Pseudo Label +1

A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition

no code implementations27 Feb 2023 Guanting Dong, Zechen Wang, LiWen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, QiXiang Gao, Weiran Xu

Specifically, we decouple class-specific prototypes and contextual semantic prototypes by two masking strategies to lead the model to focus on two different semantic information for inference.

Contrastive Learning few-shot-ner +4

Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations

no code implementations27 Feb 2023 Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, LiWen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu

In real dialogue scenarios, the existing slot filling model, which tends to memorize entity patterns, has a significantly reduced generalization facing Out-of-Vocabulary (OOV) problems.

Contrastive Learning slot-filling +1

Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task

1 code implementation13 Feb 2023 Yiren Jian, Chongyang Gao, Chen Zeng, Yunjie Zhao, Soroush Vosoughi

Our findings indicate that the learned structural patterns of proteins can be transferred to RNAs, opening up potential new avenues for research.

Transfer Learning

Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System

no code implementations11 Jan 2022 Chen Zeng, Grant Hecht, Prajit KrisshnaKumar, Raj K. Shah, Souma Chowdhury, Eleonora M. Botta

This tether-net system is subject to several sources of uncertainty in sensing and actuation that affect the performance of its net launch and closing control.

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search

1 code implementation24 Mar 2021 Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Bailin Xiao, Wei Dong, Xiangke Liao

With the rapid increase in the amount of public code repositories, developers maintain a great desire to retrieve precise code snippets by using natural language.

Code Search

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