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Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets


Feb 27, 2021
Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

* 8 pages 

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Towards Accurate and Compact Architectures via Neural Architecture Transformer


Feb 20, 2021
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang

* Extension of NAT 

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A Surgery of the Neural Architecture Evaluators


Aug 12, 2020
Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang


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Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search


Jul 07, 2020
Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan


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A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS


Apr 04, 2020
Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang

* 15 pages main text; 9 pages appendix 

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FTT-NAS: Discovering Fault-Tolerant Neural Architecture


Mar 20, 2020
Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang

* 13 pages, 9 figures 

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NAT: Neural Architecture Transformer for Accurate and Compact Architectures


Nov 18, 2019
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang

* This paper is accepted by NeurIPS 2019 

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Semi-supervised Learning with Contrastive Predicative Coding


May 25, 2019
Jiaxing Wang, Yin Zheng, Xiaoshuang Chen, Junzhou Huang, Jian Cheng

* 6 pages, 4 figures, conference 

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RaFM: Rank-Aware Factorization Machines


May 18, 2019
Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang

* 9 pages, 4 figures, accepted by ICML 2019 

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Fast Single Image Reflection Suppression via Convex Optimization


Mar 10, 2019
Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu

* 9 pages, 8 figures, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 

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Collaborative Filtering with User-Item Co-Autoregressive Models


Jul 05, 2018
Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang

* Published in AAAI 2018 

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Nonparametric Topic Modeling with Neural Inference


Jun 18, 2018
Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang

* 11 pages, 2 figures 

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Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering


Jun 28, 2017
Zhuxi Jiang, Yin Zheng, Huachun Tan, Bangsheng Tang, Hanning Zhou

* 8 pages, 6 figures, accepted by IJCAI2017 

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A Neural Autoregressive Approach to Collaborative Filtering


May 31, 2016
Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou

* Accepted by ICML2016 

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Dynamic Capacity Networks


May 22, 2016
Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron Courville

* ICML 2016 

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Document Neural Autoregressive Distribution Estimation


Mar 18, 2016
Stanislas Lauly, Yin Zheng, Alexandre Allauzen, Hugo Larochelle


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A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data


Dec 31, 2015
Yin Zheng, Yu-Jin Zhang, Hugo Larochelle

* 24 pages, 10 figures. A version has been accepted by TPAMI on Aug 4th, 2015. Add footnote about how to train the model in practice in Section 5.1. arXiv admin note: substantial text overlap with arXiv:1305.5306 

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A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation


May 23, 2013
Yin Zheng, Yu-Jin Zhang, Hugo Larochelle

* 13 pages, 5 figures 

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