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Seonwoo Min

Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost

Oct 27, 2022
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong

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* 19 pages, 8 figures

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Grounding Visual Representations with Texts for Domain Generalization

Jul 21, 2022
Seonwoo Min, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim

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* 25 pages (including Supplementary Materials), ECCV 2022 camera ready version

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Pure Transformers are Powerful Graph Learners

Jul 06, 2022
Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong

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* 26 pages, 8 figures

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TargetNet: Functional microRNA Target Prediction with Deep Neural Networks

Jul 23, 2021
Seonwoo Min, Byunghan Lee, Sungroh Yoon

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* 7 pages, under review

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Neural Universal Discrete Denoiser

Aug 24, 2016
Taesup Moon, Seonwoo Min, Byunghan Lee, Sungroh Yoon

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* Accepted to NIPS 2016

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Deep Learning in Bioinformatics

Jun 19, 2016
Seonwoo Min, Byunghan Lee, Sungroh Yoon

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* Accepted for Briefings in Bioinformatics (18-Jun-2016)

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