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Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression 期刊论文
ACM Transactions on Asian and Low-Resource Language Information Processing, 2024, 卷号: 23, 期号: 2, 页码: 1-19
作者:  Zhao Yang;  Yuanzhe Zhang;  Dianbo Sui;  Yiming Ju;  Jun Zhao;  Kang Liu
Adobe PDF(1250Kb)  |  收藏  |  浏览/下载：42/15  |  提交时间：2024/05/30
Explanation  knowledge distillation  model compression  
Graph-guided deep hashing networks for similar patient retrieval 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 169, 页码: 107865
作者:  Gu, Yifan;  Yang, Xuebing;  Sun, Mengxuan;  Wang, Chutong;  Yang, Hongyu;  Yang, Chao;  Wang, Jinwei;  Kong, Guilan;  Lv, Jicheng;  Zhang, Wensheng
Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：36/12  |  提交时间：2024/05/28
Similar patient retrieval  Deep hashing  Graph neural networks  Patient representation learning  Electronic health records  
Towards Unified Multi-Domain Machine Translation With Mixture of Domain Experts 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 卷号: 31, 页码: 3488-3498
作者:  Lu, Jinliang;  Zhang, Jiajun
Adobe PDF(2882Kb)  |  收藏  |  浏览/下载：153/10  |  提交时间：2023/12/21
Machine Translation  Multi-domain  Mixture-of-expert  
Toward few-shot domain adaptation with perturbation-invariant representation and transferable prototypes 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2022, 卷号: 16, 期号: 3, 页码: 11
作者:  Fan, Junsong;  Wang, Yuxi;  Guan, He;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(4804Kb)  |  收藏  |  浏览/下载：319/55  |  提交时间：2022/06/10
domain adaptation  semantic segmentation  
Regularizing deep networks with label geometry for accurate object localization on small training datasets 期刊论文
PATTERN RECOGNITION LETTERS, 2022, 卷号: 154, 页码: 53-59
作者:  Wang, Xiaolian;  Hu, Xiyuan;  Chen, Chen;  Peng, Silong
Adobe PDF(1455Kb)  |  收藏  |  浏览/下载：336/77  |  提交时间：2022/06/10
Object detection  Object localization  Label geometry  Box evolution  Small dataset  Human-machine interaction  
Supervised assisted deep reinforcement learning for emergency voltage control of power systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 475, 页码: 69-79
作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Dai, Yuxin;  Yu, Zhihong;  Zhang, Jun Jason;  Bu, Guangquan;  Wang, Fei-Yue
Adobe PDF(2551Kb)  |  收藏  |  浏览/下载：349/71  |  提交时间：2022/06/06
Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Emergency control  
Generalized zero-shot emotion recognition from body gestures 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 19
作者:  Wu, Jinting;  Zhang, Yujia;  Sun, Shiying;  Li, Qianzhong;  Zhao, Xiaoguang
Adobe PDF(2059Kb)  |  收藏  |  浏览/下载：332/69  |  提交时间：2021/12/28
Generalized zero-shot learning  Emotion recognition  Body gesture recognition  Prototype learning  
Transformers in computational visual media: A survey 期刊论文
Computational Visual Media, 2021, 卷号: 8, 期号: 1, 页码: 33-62
作者:  Xu,Yifan;  Wei,Huapeng;  Lin,Minxuan;  Deng,Yingying;  Sheng,Kekai;  Zhang,Mengdan;  Tang,Fan;  Dong,Weiming;  Huang,Feiyue;  Xu,Changsheng
Adobe PDF(5366Kb)  |  收藏  |  浏览/下载：321/44  |  提交时间：2021/12/28
visual transformer  computational visual media (CVM)  high-level vision  low-level vision  image generation  multi-modal learning  
IsGAN: Identity-sensitive generative adversarial network for face photo-sketch synthesis 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 119, 页码: 13
作者:  Yan, Lan;  Zheng, Wenbo;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(4465Kb)  |  收藏  |  浏览/下载：288/41  |  提交时间：2021/11/03
Face photo-sketch synthesis  Image-to-image translation  Generative adversarial networks  Convolutional neural network  Face recognition  
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2905-2920
作者:  Zhang, Xinbang;  Chang, Jianlong;  Guo, Yiwen;  Meng, Gaofeng;  Xiang, Shiming;  Lin, Zhouchen;  Pan, Chunhong
Adobe PDF(1346Kb)  |  收藏  |  浏览/下载：334/54  |  提交时间：2021/11/02
Computer architecture  Search problems  Optimization  Task analysis  Bridges  Binary codes  Estimation  Neural architecture search(NAS)  ensemble gumbel-softmax  distribution guided sampling