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Taebum Kim

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2020 – today

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2023
[c3]
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  - electronic edition @ mlr.press (open access)
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  - conf/icml/KimKYC23
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Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu, Byung-Gon Chun:
BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models. ICML 2023: 16639-16653
2022
[i1]
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  - journals/corr/abs-2201-09210
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Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun:
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs. CoRR abs/2201.09210 (2022)
2021
[c2]
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Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun:
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs. NeurIPS 2021: 1468-1480

2010 – 2019

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2019
[j1]
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  - journals/sigops/JeongCYJSKC19
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Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Taebum Kim, Byung-Gon Chun:
Speculative Symbolic Graph Execution of Imperative Deep Learning Programs. ACM SIGOPS Oper. Syst. Rev. 53(1): 26-33 (2019)
[c1]
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Jaemin Yoo, Minyong Cho, Taebum Kim, U Kang:
Knowledge Extraction with No Observable Data. NeurIPS 2019: 2701-2710

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