Search Results for author: Yongbin Liu

Found 6 papers, 1 papers with code

Learn to Adapt for Generalized Zero-Shot Text Classification

1 code implementation ACL 2022 Yiwen Zhang, Caixia Yuan, Xiaojie Wang, Ziwei Bai, Yongbin Liu

Generalized zero-shot text classification aims to classify textual instances from both previously seen classes and incrementally emerging unseen classes.

Classification Generalized Zero-Shot Learning +2

P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion

no code implementations Findings (EMNLP) 2021 Jingwen Xu, Jing Zhang, Xirui Ke, Yuxiao Dong, Hong Chen, Cuiping Li, Yongbin Liu

Its general process is to first encode the implicit relation of an entity pair and then match the relation of a query entity pair with the relations of the reference entity pairs.

Knowledge Graph Completion

Ensemble Making Few-Shot Learning Stronger

no code implementations12 May 2021 Qing Lin, Yongbin Liu, Wen Wen, Zhihua Tao

It is difficult for a single model to adapt to various relation learning, which results in the high variance problem.

Few-Shot Learning Relation Extraction

Student's t-Generative Adversarial Networks

no code implementations6 Nov 2018 Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Zhongwen Guo

We propose a new method referring to conditional GAN, which equipments the latent noise with mixture of Student's t-distribution with attention mechanism in addition to class information.

Image Generation

Generative Adversarial Networks with Decoder-Encoder Output Noise

no code implementations11 Jul 2018 Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang

The deep convolutional generative adversarial networks (DCGANs) were then proposed to leverage the quality of generated images.

Image Generation Variational Inference

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