Audio Cover Song Identification using Convolutional Neural Network. - Sungkyun Chang; Juheon Lee; Sang Keun Choe; Kyogu Lee (CoRR, 2017)

Cover Song Identification Using Song-to-Song Cross-Similarity Matrix with Convolutional Neural Network. - Juheon Lee; Sungkyun Chang; Sang Keun Choe; Kyogu Lee (ICASSP, 2018)

On Leveraging the Visual Modality for Neural Machine Translation. - Vikas Raunak; Sang Keun Choe; Quanyang Lu; Yi Xu; Florian Metze (INLG, 2019)

Online Kernel based Generative Adversarial Networks. - Yeojoon Youn; Neil Thistlethwaite; Sang Keun Choe; Jacob D. Abernethy (CoRR, 2020)

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. - Aurick Qiao; Sang Keun Choe; Suhas Jayaram Subramanya; Willie Neiswanger; Qirong Ho; Hao Zhang 025; Gregory R. Ganger; Eric P. Xing (OSDI, 2021)

Betty: An Automatic Differentiation Library for Multilevel Optimization. - Sang Keun Choe; Willie Neiswanger; Pengtao Xie; Eric P. Xing (ICLR, 2023)

Making Scalable Meta Learning Practical. - Sang Keun Choe; Sanket Vaibhav Mehta; Hwijeen Ahn; Willie Neiswanger; Pengtao Xie; Emma Strubell; Eric P. Xing (NeurIPS, 2023)

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions. - Sang Keun Choe; Hwijeen Ahn; Juhan Bae; Kewen Zhao; Minsoo Kang; Youngseog Chung; Adithya Pratapa; Willie Neiswanger; Emma Strubell; Teruko Mitamura; Jeff G. Schneider; Eduard H. Hovy; et al. (CoRR, 2024)

Understanding Training Data in Large-Scale Machine Learning - Sang Keun Choe (2024)