Difference between revisions of "Jaeseok Choi"
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[1] Simyung Chang, John Yang, '''Jaeseok Choi''' and Nojun Kwak, "Genetic-Gated Networks for Deep Reinforcement Learning", Thirty-second Conference on Neural Information Processing Systems (NeurIPS2018), Montreal, Canada, December 2018. (Poster)<br><br> | [1] Simyung Chang, John Yang, '''Jaeseok Choi''' and Nojun Kwak, "Genetic-Gated Networks for Deep Reinforcement Learning", Thirty-second Conference on Neural Information Processing Systems (NeurIPS2018), Montreal, Canada, December 2018. (Poster)<br><br> | ||
| − | [2] Simyung Chang, YoungJoon Yoo, '''Jaeseok Choi''' and Nojun Kwak,"BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning", 8th International Conference on Pattern Recognition Applications and Methods ( | + | [2] Simyung Chang, YoungJoon Yoo, '''Jaeseok Choi''' and Nojun Kwak,"BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning", 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Prague, Czech Republic, February 2019. (Oral)<br><br> |
| − | [3] '''Jaeseok Choi''', Kyoungmin Lee, Jisoo Jeong and Nojun Kwak, "Two-Layer Residual Feature Fusion for Object Detection", 8th International Conference on Pattern Recognition Applications and Methods ( | + | [3] '''Jaeseok Choi''', Kyoungmin Lee, Jisoo Jeong and Nojun Kwak, "Two-Layer Residual Feature Fusion for Object Detection", 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Prague, Czech Republic, February 2019. (Oral) |
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Revision as of 00:13, 28 December 2018
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Jaeseok Choi (최재석)
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Research interests : Object Detection, Reinforcement Learning, Deep learning.
Education
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Mar. 2017 ~ Present:
- MS/Ph.D. Candidate in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
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Feb. 2017:
- B.S. in Computer Engineering, SungKyunKwan University, Korea.
Publications
- International Conferences
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[1] Simyung Chang, John Yang, Jaeseok Choi and Nojun Kwak, "Genetic-Gated Networks for Deep Reinforcement Learning", Thirty-second Conference on Neural Information Processing Systems (NeurIPS2018), Montreal, Canada, December 2018. (Poster)
[2] Simyung Chang, YoungJoon Yoo, Jaeseok Choi and Nojun Kwak,"BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning", 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Prague, Czech Republic, February 2019. (Oral)
[3] Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong and Nojun Kwak, "Two-Layer Residual Feature Fusion for Object Detection", 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Prague, Czech Republic, February 2019. (Oral)
- Domestic Conferences
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