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Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm


Oct 11, 2021
Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan

* 18 pages, 10 figures 

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Learning Topic Models: Identifiability and Finite-Sample Analysis


Oct 08, 2021
Yinyin Chen, Shishuang He, Yun Yang, Feng Liang


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Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules


Jul 18, 2021
Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han

* Submitted to IEEE Transactions On Image Processing 

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Inception Convolution with Efficient Dilation Search


Dec 25, 2020
Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu


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Reinforcement Learning-based Product Delivery Frequency Control


Dec 20, 2020
Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang

* In 35th AAAI Conference on Artificial Intelligence, February 2-9, 2021 

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ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition


Nov 30, 2020
Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen


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Once Quantized for All: Progressively Searching for Quantized Efficient Models


Oct 09, 2020
Mingzhu Shen, Feng Liang, Chuming Li, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang

* The first two authors contributed equally 

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Computation Reallocation for Object Detection


Dec 24, 2019
Feng Liang, Chen Lin, Ronghao Guo, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang

* ICLR2020 

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Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs


Jul 15, 2019
Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian zhang, Mohammad Akbari, Jie Liang, Chengjie Tu

* Submitted to Signal Processing: Image Communication 

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A Deep Image Compression Framework for Face Recognition


Jul 03, 2019
Nai Bian, Feng Liang, Haisheng Fu, Bo Lei


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Bayesian Regularization for Graphical Models with Unequal Shrinkage


May 20, 2018
Lingrui Gan, Naveen N. Narisetty, Feng Liang

* To appear in Journal of the American Statistical Association (Theory & Methods) 

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Discriminative Similarity for Clustering and Semi-Supervised Learning


Sep 05, 2017
Yingzhen Yang, Feng Liang, Nebojsa Jojic, Shuicheng Yan, Jiashi Feng, Thomas S. Huang


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An Empirical Bayes Approach for High Dimensional Classification


Feb 16, 2017
Yunbo Ouyang, Feng Liang


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Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm


Oct 31, 2015
Daniel Khashabi, John Wieting, Jeffrey Yufei Liu, Feng Liang


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PAC-Bayesian AUC classification and scoring


Oct 13, 2014
James Ridgway, Pierre Alquier, Nicolas Chopin, Feng Liang

* Accepted at NIPS 2014 

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Heteroscedastic Relevance Vector Machine


Jan 10, 2013
Daniel Khashabi, Mojtaba Ziyadi, Feng Liang


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