Evolving Search Space for Neural Architecture Search

Nov 22, 2020
Yuanzheng Ci, Chen Lin, Ming Sun, Boyu Chen, Hongwen Zhang, Wanli Ouyang

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Improving Auto-Augment via Augmentation-Wise Weight Sharing

Oct 22, 2020
Keyu Tian, Chen Lin, Ming Sun, Luping Zhou, Junjie Yan, Wanli Ouyang

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* Accepted to NeurIPS 2020 (Poster) 

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Adaptive Gradient Method with Resilience and Momentum

Oct 21, 2020
Jie Liu, Chen Lin, Chuming Li, Lu Sheng, Ming Sun, Junjie Yan, Wanli Ouyang

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On Front-end Gain Invariant Modeling for Wake Word Spotting

Oct 13, 2020
Yixin Gao, Noah D. Stein, Chieh-Chi Kao, Yunliang Cai, Ming Sun, Tao Zhang, Shiv Vitaladevuni

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* In Proc. Interspeech 2020 

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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

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* The first two authors contributed equally 

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Powering One-shot Topological NAS with Stabilized Share-parameter Proxy

May 21, 2020
Ronghao Guo, Chen Lin, Chuming Li, Keyu Tian, Ming Sun, Lu Sheng, Junjie Yan

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Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels

May 18, 2020
Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan

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* CVPR2020 oral. The first two authors contribute equally 

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Few-shot acoustic event detection via meta-learning

Feb 21, 2020
Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang

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* ICASSP 2020 

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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

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* ICLR2020 

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Improving One-shot NAS by Suppressing the Posterior Fading

Oct 06, 2019
Xiang Li, Chen Lin, Chuming Li, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang

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Acoustic scene analysis with multi-head attention networks

Sep 16, 2019
Weimin Wang, Weiran Wang, Ming Sun, Chao Wang

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* 8 pages, 6 figures 

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Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection

Sep 05, 2019
Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan

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POD: Practical Object Detection with Scale-Sensitive Network

Sep 05, 2019
Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan

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Compression of Acoustic Event Detection Models With Quantized Distillation

Jul 01, 2019
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang

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* Interspeech 2019 

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Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training

May 02, 2019
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang

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* NeuralPS 2018 CDNNRIA workshop 

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Semi-supervised Acoustic Event Detection based on tri-training

Apr 29, 2019
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang

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* 5 pages 

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Compact Generalized Non-local Network

Nov 01, 2018
Kaiyu Yue, Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding, Fuxin Xu

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* Technical report; To appear at NIPS 2018; Code is available at https://github.com/KaiyuYue/cgnl-network.pytorch 

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Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition

Jun 14, 2018
Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding

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Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting

May 05, 2017
Ming Sun, Anirudh Raju, George Tucker, Sankaran Panchapagesan, Gengshen Fu, Arindam Mandal, Spyros Matsoukas, Nikko Strom, Shiv Vitaladevuni

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* Spoken Language Technology Workshop (SLT), 2016 IEEE (pp. 474-480). IEEE 

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An Empirical Evaluation of Zero Resource Acoustic Unit Discovery

Feb 05, 2017
Chunxi Liu, Jinyi Yang, Ming Sun, Santosh Kesiraju, Alena Rott, Lucas Ondel, Pegah Ghahremani, Najim Dehak, Lukas Burget, Sanjeev Khudanpur

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* 5 pages, 1 figure; Accepted for publication at ICASSP 2017 

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Generalized Canonical Correlation Analysis for Classification

Jun 26, 2014
Cencheng Shen, Ming Sun, Minh Tang, Carey E. Priebe

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* Journal of Multivariate Analysis 130 (2014) 310-322 
* 28 pages, 3 figures, 7 tables 

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Generalized Canonical Correlation Analysis for Disparate Data Fusion

Sep 17, 2012
Ming Sun, Carey E. Priebe, Minh Tang

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