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Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean

Aug 10, 2021
Balagopal Unnikrishnan, Cuong Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy

* Preprint submitted to Medical Image Analysis. Accepted in June 2021 

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Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach

Jan 18, 2021
Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo, Kui Jia

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A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition

Jan 13, 2021
Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed Sabry Aly, Jie Lin, Vijay Chandrasekhar

* 5 pages, 3 figures 

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Adversarially Learned Anomaly Detection

Dec 06, 2018
Houssam Zenati, Manon Romain, Chuan Sheng Foo, Bruno Lecouat, Vijay Ramaseshan Chandrasekhar

* In the Proceedings of the 20th IEEE International Conference on Data Mining (ICDM), 2018 

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TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks

Nov 29, 2018
Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry

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Efficient GAN-Based Anomaly Detection

Feb 17, 2018
Houssam Zenati, Chuan Sheng Foo, Bruno Lecouat, Gaurav Manek, Vijay Ramaseshan Chandrasekhar

* Submitted to the ICLR Workshop 2018 

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