Kyungwoo Song

According to our database, Kyungwoo Song authored at least 39 papers between 2014 and 2024.

Collaborative distances:

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

2024

Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding.

Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, David R. Mortensen

CoRR, 2024

2023

Sequential Likelihood-Free Inference with Neural Proposal.

Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo

Pattern Recognit. Lett., May, 2023

Towards Calibrated Robust Fine-Tuning of Vision-Language Models.

Changdae Oh, Mijoo Kim, Hyesu Lim, Junhyeok Park, Euiseog Jeong, Zhi-Qi Cheng, Kyungwoo Song

CoRR, 2023

Leveraging Skill-to-Skill Supervision for Knowledge Tracing.

Hyeondey Kim, Jinwoo Nam, Minjae Lee, Yun Jegal, Kyungwoo Song

CoRR, 2023

RPLKG: Robust Prompt Learning with Knowledge Graph.

Yewon Kim, YongTaek Lim, Dokyung Yoon, Kyungwoo Song

CoRR, 2023

Robust Contrastive Learning With Dynamic Mixed Margin.

Junhyuk So, YongTaek Lim, Yewon Kim, Changdae Oh, Kyungwoo Song

IEEE Access, 2023

Geodesic Multi-Modal Mixup for Robust Fine-Tuning.

Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SAAL: Sharpness-Aware Active Learning.

Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2023

Causally Disentangled Generative Variational AutoEncoder.

SeungHwan An, Kyungwoo Song, Jong-June Jeon

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning.

Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Sharpness-aware Minimization for Worst Case Optimization.

Taero Kim, Sungjun Lim, Kyungwoo Song

CoRR, 2022

Graph Perceiver IO: A General Architecture for Graph Structured Data.

Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song

CoRR, 2022

Multi-Modal Mixup for Robust Fine-tuning.

Junhyuk So, Changdae Oh, Minchul Shin, Kyungwoo Song

CoRR, 2022

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation.

JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Fair Representation via Distributional Contrastive Disentanglement.

Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation.

Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2022

Efficient Approximate Inference for Stationary Kernel on Frequency Domain.

Yohan Jung, Kyungwoo Song, Jinkyoo Park

Proceedings of the International Conference on Machine Learning, 2022

From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model.

HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2022

2021

Score Matching Model for Unbounded Data Score.

Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

CoRR, 2021

Posterior-Aided Regularization for Likelihood-Free Inference.

Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon

CoRR, 2021

LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning.

Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon

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

Implicit Kernel Attention.

Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder.

Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning.

Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon

CoRR, 2020

Sequential Likelihood-Free Inference with Implicit Surrogate Proposal.

Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Il-Chul Moon

CoRR, 2020

Approximate Inference for Spectral Mixture Kernel.

Yohan Jung, Kyungwoo Song, Jinkyoo Park

CoRR, 2020

Context Aware Sequence Modeling.

Kyungwoo Song

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation.

Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Deep Generative Positive-Unlabeled Learning under Selection Bias.

Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Bivariate Beta-LSTM.

Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Hierarchically Clustered Representation Learning.

Su-Jin Shin, Kyungwoo Song, Il-Chul Moon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Sequential Recommendation with Relation-Aware Kernelized Self-Attention.

Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hierarchical Context Enabled Recurrent Neural Network for Recommendation.

Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Adversarial Dropout for Recurrent Neural Networks.

Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Neural Ideal Point Estimation Network.

Kyungwoo Song, Wonsung Lee, Il-Chul Moon

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information.

Wonsung Lee, Kyungwoo Song, Il-Chul Moon

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles.

Kyungwoo Song, Sang-Hyeon Kim, Jinhyung Tak, Han-Lim Choi, Il-Chul Moon

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

The Regularity of Semihyperbolic Patches Near Sonic Lines for The 2-D Euler System in Gas Dynamics.

Kyungwoo Song, Qin Wang, Yuxi Zheng

SIAM J. Math. Anal., 2015

2014

Identifying the evolution of disasters and responses with network-text analysis.

Kyungwoo Song, Do-Hyeong Kim, Su-Jin Shin, Il-Chul Moon

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014