Taebum Kim

According to our database, Taebum Kim authored at least 4 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models.

Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu, Byung-Gon Chun

Proceedings of the International Conference on Machine Learning, 2023

2021

Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs.

Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Speculative Symbolic Graph Execution of Imperative Deep Learning Programs.

Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Taebum Kim, Byung-Gon Chun

ACM SIGOPS Oper. Syst. Rev., 2019

Knowledge Extraction with No Observable Data.

Jaemin Yoo, Minyong Cho, Taebum Kim, U Kang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019