24 citations · 48 across the 5 of their papers we have counts for
7 papers
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
Sang Keun Choe, Hwijeen Ahn, Juhan Bae +11
Large language models (LLMs) are trained on a vast amount of human-written data, but data providers often remain uncredited. In response to this issue, data valuation (or data attr…
Making Scalable Meta Learning Practical
Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn +4
Despite its flexibility to learn diverse inductive biases in machine learning programs, meta learning (i.e., learning to learn) has long been recognized to suffer from poor scalabi…
Betty: An Automatic Differentiation Library for Multilevel Optimization
Sang Keun Choe, Willie Neiswanger, Pengtao Xie +1
Gradient-based multilevel optimization (MLO) has gained attention as a framework for studying numerous problems, ranging from hyperparameter optimization and meta-learning to neura…
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya +5
Pollux improves scheduling performance in deep learning (DL) clusters by adaptively co-optimizing inter-dependent factors both at the per-job level and at the cluster-wide level. M…
Online Kernel based Generative Adversarial Networks
Yeojoon Youn, Neil Thistlethwaite, Sang Keun Choe +1
One of the major breakthroughs in deep learning over the past five years has been the Generative Adversarial Network (GAN), a neural network-based generative model which aims to mi…
On Leveraging the Visual Modality for Neural Machine Translation
Vikas Raunak, Sang Keun Choe, Quanyang Lu +2
Leveraging the visual modality effectively for Neural Machine Translation (NMT) remains an open problem in computational linguistics. Recently, Caglayan et al. posit that the obser…
Audio Cover Song Identification using Convolutional Neural Network
Sungkyun Chang, Juheon Lee, Sang Keun Choe +1
In this paper, we propose a new approach to cover song identification using a CNN (convolutional neural network). Most previous studies extract the feature vectors that characteriz…