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Evaluations and Methods for Explanation through Robustness Analysis

May 31, 2020
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh

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Minimizing FLOPs to Learn Efficient Sparse Representations

Apr 12, 2020
Biswajit Paria, Chih-Kuan Yeh, Ian E. H. Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos

* Published at ICLR 2020 

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On Concept-Based Explanations in Deep Neural Networks

Oct 17, 2019
Chih-Kuan Yeh, Been Kim, Sercan O. Arik, Chun-Liang Li, Pradeep Ravikumar, Tomas Pfister

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How Sensitive are Sensitivity-Based Explanations?

Jan 27, 2019
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David Inouye, Pradeep Ravikumar

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Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching

Dec 23, 2018
Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu

* Published as a conference paper at ICLR 2019 

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Representer Point Selection for Explaining Deep Neural Networks

Nov 23, 2018
Chih-Kuan Yeh, Joon Sik Kim, Ian E. H. Yen, Pradeep Ravikumar

* NIPS 2018 

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Multi-Label Zero-Shot Learning with Structured Knowledge Graphs

May 26, 2018
Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang

* CVPR 2018 

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Order-Free RNN with Visual Attention for Multi-Label Classification

Dec 20, 2017
Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang

* Accepted at 32nd AAAI Conference on Artificial Intelligence (AAAI-18) 

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Learning Deep Latent Spaces for Multi-Label Classification

Jul 03, 2017
Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang

* published in AAAI-2017 

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Generative-Discriminative Variational Model for Visual Recognition

Jun 07, 2017
Chih-Kuan Yeh, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang

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Automatic Bridge Bidding Using Deep Reinforcement Learning

Jul 12, 2016
Chih-Kuan Yeh, Hsuan-Tien Lin

* 8 pages, 1 figure, 2016 ECAI accepted 

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