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AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's Activation via Adjoint Operators


Oct 04, 2021
Qing Wan, Yoonsuck Choe

* 19 pages, 8 figures 

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Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer


Jun 29, 2021
Yoonsuck Choe

* 14 pages 

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AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators


Dec 16, 2020
Qing Wan, Yoonsuck Choe

* Main paper + Appendix 

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Emergence of Different Modes of Tool Use in a Reaching and Dragging Task


Dec 08, 2020
Khuong Nguyen, Yoonsuck Choe

* 11 pages, 10 figures, 14 pdf-embedded animations 

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Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model


Jan 23, 2020
Qing Wan, Yoonsuck Choe

* AAAI-2020 Student Abstract and Poster Program (Accept) 

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Differentiable Pruning Method for Neural Networks


Apr 24, 2019
Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe

* Submitted to ICML Workshop 

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How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning


Jan 09, 2019
Hyun-Joo Jung, Jaedeok Kim, Yoonsuck Choe

* Accepted to AAAI 2019 Workshop on Network Interpretability for Deep Learning 

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Comparing Sample-wise Learnability Across Deep Neural Network Models


Jan 08, 2019
Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe

* Accepted to AAAI 2019 Student Abstract 

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English Out-of-Vocabulary Lexical Evaluation Task


Apr 11, 2018
Han Wang, Ye Wang, Mi Lu, Yoonsuck Choe


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