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Sercan O. Arik

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Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost

Oct 16, 2019
Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan O. Arik, Larry S. Davis, Tomas Pfister

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IEG: Robust Neural Network Training to Tackle Severe Label Noise

Oct 13, 2019
Zizhao Zhang, Han Zhang, Sercan O. Arik, Honglak Lee, Tomas Pfister

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RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling

Sep 26, 2019
Jinsung Yoon, Sercan O. Arik, Tomas Pfister

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TabNet: Attentive Interpretable Tabular Learning

Sep 26, 2019
Sercan O. Arik, Tomas Pfister

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Data Valuation using Reinforcement Learning

Sep 25, 2019
Jinsung Yoon, Sercan O. Arik, Tomas Pfister

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Learning to Transfer Learn

Aug 29, 2019
Linchao Zhu, Sercan O. Arik, Yi Yang, Tomas Pfister

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Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks

Feb 17, 2019
Sercan O. Arik, Tomas Pfister

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