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Yew Soon Ong

Nanyang Technological University

Unsupervised Object-Level Representation Learning from Scene Images


Jun 22, 2021
Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy


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Delving into Inter-Image Invariance for Unsupervised Visual Representations


Aug 26, 2020
Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy


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Online Deep Clustering for Unsupervised Representation Learning


Jun 18, 2020
Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew Soon Ong, Chen Change Loy

* Accepted by CVPR 2020. Code: https://github.com/open-mmlab/OpenSelfSup 

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Jacobian Adversarially Regularized Networks for Robustness


Jan 29, 2020
Alvin Chan, Yi Tay, Yew Soon Ong, Jie Fu

* ICLR 2020 Camera Ready 

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DEVDAN: Deep Evolving Denoising Autoencoder


Oct 08, 2019
Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew Soon Ong

* This paper has been accepted for publication in Neurocomputing 2019. arXiv admin note: substantial text overlap with arXiv:1809.09081 

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Automatic Construction of Multi-layer Perceptron Network from Streaming Examples


Oct 08, 2019
Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew Soon Ong, Weiping Ding

* This paper has been accepted for publication in CIKM 2019 

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Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams


Sep 24, 2018
Mahardhika Pratama, Andri Ashfahani, Yew Soon Ong, Savitha Ramasamy, Edwin Lughofer

* have been submitted to AAAI 2019 conference 

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Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer


Sep 07, 2018
Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, Yew Soon Ong


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Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution


Nov 17, 2017
Adam Żychowski, Abhishek Gupta, Jacek Mańdziuk, Yew Soon Ong


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MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information


Feb 28, 2017
Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew Soon Ong

* Accepted in CVPR 2017 

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Meme as Building Block for Evolutionary Optimization of Problem Instances


Jul 03, 2012
Liang Feng, Yew Soon Ong, Ah Hwee Tan, Ivor Wai-Hung Tsang


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Discovering Support and Affiliated Features from Very High Dimensions


Jun 27, 2012
Yiteng Zhai, Mingkui Tan, Ivor Tsang, Yew Soon Ong

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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