Jung-Woo Ha

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2023
KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application.
CoRR, 2023

KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2020
Modeling Musical Onset Probabilities via Neural Distribution Learning.
CoRR, 2020

2018
Reinforcement Learning based Recommender System using Biclustering Technique.
CoRR, 2018

Representation Learning of Music Using Artist Labels.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

2017
Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks.
CoRR, 2017

Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning.
CoRR, 2017

Music Emotion Recognition via End-to-End Multimodal Neural Networks.
Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

2011
CoreRacer: a practical memory race recorder for multicore x86 TSO processors.
Proceedings of the 44rd Annual IEEE/ACM International Symposium on Microarchitecture, 2011

2010
Opportunities for concurrent dynamic analysis with explicit inter-core communication.
Proceedings of the 9th ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering, 2010

2009
A concurrent dynamic analysis framework for multicore hardware.
Proceedings of the 24th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2009

2007
Improved error reporting for software that uses black-box components.
Proceedings of the ACM SIGPLAN 2007 Conference on Programming Language Design and Implementation, 2007

2006
Cost-Sensitive Decision Tree Learning for Forensic Classification.
Proceedings of the Machine Learning: ECML 2006, 2006


  Loading...