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2020 – today
- 2025
[j10]Hoyoon Byun, Sungjun Lim, Kyungwoo Song
:
GFML: Gravity function for metric learning. Eng. Appl. Artif. Intell. 139: 109463 (2025)- 2024
- [j9]Minhoi Park, Rakwoo Chang, Kyungwoo Song:
Dirichlet stochastic weights averaging for graph neural networks. Appl. Intell. 54(21): 10516-10524 (2024) - [j8]Taero Kim, Hyeonjeong Lee, Minseong Kim, Kwang-Yong Kim, Kyu Hyung Kim, Kyungwoo Song:
GloGen: PPG prompts for few-shot transfer learning in blood pressure estimation. Comput. Biol. Medicine 183: 109216 (2024) - [j7]Changdae Oh, Minhoi Park, Sungjun Lim, Kyungwoo Song:
Language model-guided student performance prediction with multimodal auxiliary information. Expert Syst. Appl. 250: 123960 (2024) - [j6]Jeyoon Yeom, Hakyung Lee, Hoyoon Byun, Yewon Kim, Jeongeun Byun, Yunjeong Choi, Sungjin Kim, Kyungwoo Song:
Tc-llama 2: fine-tuning LLM for technology and commercialization applications. J. Big Data 11(1): 100 (2024) - [j5]Jinho Kang, Taero Kim, Yewon Kim, Changdae Oh, Jiyoung Jung, Rakwoo Chang, Kyungwoo Song:
Bibimbap : Pre-trained models ensemble for Domain Generalization. Pattern Recognit. 151: 110391 (2024) - [j4]Jeyoon Yeom, Taero Kim, Rakwoo Chang, Kyungwoo Song:
Structural and positional ensembled encoding for Graph Transformer. Pattern Recognit. Lett. 183: 104-110 (2024) - [c28]Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park:
Pre-trained Vision and Language Transformers are Few-Shot Incremental Learners. CVPR 2024: 23881-23890 - [c27]Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song:
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. ECAI 2024: 2066-2073 - [c26]Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park:
Online Continuous Generalized Category Discovery. ECCV (81) 2024: 53-69 - [c25]Hakyung Lee, Keon-Hee Park, Hoyoon Byun, Jeyoon Yeom, Jihee Kim, Gyeong-Moon Park, Kyungwoo Song:
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text. EMNLP (Findings) 2024: 14866-14882 - [i33]Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, David R. Mortensen:
Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding. CoRR abs/2402.14279 (2024) - [i32]Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park:
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners. CoRR abs/2404.02117 (2024) - [i31]Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song:
Flat Posterior Does Matter For Bayesian Transfer Learning. CoRR abs/2406.15664 (2024) - [i30]Changdae Oh, Gyeongdeok Seo, Geunyoung Jung, Zhi-Qi Cheng, Hosik Choi, Jiyoung Jung, Kyungwoo Song:
Robust Adaptation of Foundation Models with Black-Box Visual Prompting. CoRR abs/2407.17491 (2024) - [i29]Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song:
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. CoRR abs/2408.10107 (2024) - [i28]Kangjun Noh, Baekryun Seong, Hoyoon Byun, Youngjun Choi, Sungjin Song, Kyungwoo Song:
LBC: Language-Based-Classifier for Out-Of-Variable Generalization. CoRR abs/2408.10923 (2024) - [i27]Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park:
Online Continuous Generalized Category Discovery. CoRR abs/2408.13492 (2024) - [i26]Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han:
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. CoRR abs/2410.03782 (2024) - 2023
- [j3]Junhyuk So, YongTaek Lim, Yewon Kim, Changdae Oh, Kyungwoo Song:
Robust Contrastive Learning With Dynamic Mixed Margin. IEEE Access 11: 60211-60222 (2023) - [j2]Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo:
Sequential Likelihood-Free Inference with Neural Proposal. Pattern Recognit. Lett. 169: 102-109 (2023) - [c24]Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song:
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CVPR 2023: 24224-24235 - [c23]SeungHwan An, Kyungwoo Song, Jong-June Jeon:
Causally Disentangled Generative Variational AutoEncoder. ECAI 2023: 93-100 - [c22]Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon:
SAAL: Sharpness-Aware Active Learning. ICML 2023: 16424-16440 - [c21]Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song:
Geodesic Multi-Modal Mixup for Robust Fine-Tuning. NeurIPS 2023 - [i25]SeungHwan An, Kyungwoo Song, Jong-June Jeon:
Causally Disentangled Generative Variational AutoEncoder. CoRR abs/2302.11737 (2023) - [i24]Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song:
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CoRR abs/2303.14773 (2023) - [i23]Yewon Kim, YongTaek Lim, Dokyung Yoon, Kyungwoo Song:
RPLKG: Robust Prompt Learning with Knowledge Graph. CoRR abs/2304.10805 (2023) - [i22]Hyeondey Kim, Jinwoo Nam, Minjae Lee, Yun Jegal, Kyungwoo Song:
Leveraging Skill-to-Skill Supervision for Knowledge Tracing. CoRR abs/2306.06841 (2023) - [i21]Changdae Oh, Mijoo Kim, Hyesu Lim, Junhyeok Park, Euiseog Jeong, Zhi-Qi Cheng, Kyungwoo Song:
Towards Calibrated Robust Fine-Tuning of Vision-Language Models. CoRR abs/2311.01723 (2023) - 2022
- [c20]HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon:
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. ICML 2022: 1277-1297 - [c19]Yohan Jung, Kyungwoo Song, Jinkyoo Park:
Efficient Approximate Inference for Stationary Kernel on Frequency Domain. ICML 2022: 10502-10538 - [c18]Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon:
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation. ICML 2022: 11201-11228 - [c17]Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song:
Learning Fair Representation via Distributional Contrastive Disentanglement. KDD 2022: 1295-1305 - [c16]JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon:
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. NeurIPS 2022 - [i20]Junhyuk So, Changdae Oh, Minchul Shin, Kyungwoo Song:
Multi-Modal Mixup for Robust Fine-tuning. CoRR abs/2203.03897 (2022) - [i19]HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon:
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. CoRR abs/2205.00690 (2022) - [i18]JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon:
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. CoRR abs/2206.07551 (2022) - [i17]Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song:
Learning Fair Representation via Distributional Contrastive Disentanglement. CoRR abs/2206.08743 (2022) - [i16]Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song:
Graph Perceiver IO: A General Architecture for Graph Structured Data. CoRR abs/2209.06418 (2022) - [i15]Taero Kim, Sungjun Lim, Kyungwoo Song:
Sharpness-aware Minimization for Worst Case Optimization. CoRR abs/2210.13533 (2022) - 2021
- [c15]Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon:
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. AAAI 2021: 8128-8136 - [c14]Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon:
Implicit Kernel Attention. AAAI 2021: 9713-9721 - [c13]Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon:
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning. NeurIPS 2021: 22919-22930 - [i14]Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon:
Posterior-Aided Regularization for Likelihood-Free Inference. CoRR abs/2102.07770 (2021) - [i13]Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon:
Score Matching Model for Unbounded Data Score. CoRR abs/2106.05527 (2021) - 2020
- [c12]Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon:
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. AAAI 2020: 4304-4311 - [c11]Su-Jin Shin, Kyungwoo Song, Il-Chul Moon:
Hierarchically Clustered Representation Learning. AAAI 2020: 5776-5783 - [c10]Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon:
Bivariate Beta-LSTM. AAAI 2020: 5818-5825 - [c9]Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon:
Deep Generative Positive-Unlabeled Learning under Selection Bias. CIKM 2020: 1155-1164 - [c8]Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon:
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. EMNLP (Findings) 2020: 3126-3140 - [c7]Kyungwoo Song:
Context Aware Sequence Modeling. IJCAI 2020: 5208-5209 - [i12]Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon:
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. CoRR abs/2004.03133 (2020) - [i11]Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon:
Implicit Kernel Attention. CoRR abs/2006.06147 (2020) - [i10]Yohan Jung, Kyungwoo Song, Jinkyoo Park:
Approximate Inference for Spectral Mixture Kernel. CoRR abs/2006.07036 (2020) - [i9]Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Il-Chul Moon:
Sequential Likelihood-Free Inference with Implicit Surrogate Proposal. CoRR abs/2010.07604 (2020) - [i8]Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon:
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning. CoRR abs/2011.04194 (2020) - [i7]Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon:
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. CoRR abs/2011.11878 (2020)
2010 – 2019
- 2019
- [c6]Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. AAAI 2019: 4699-4706 - [c5]Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context Enabled Recurrent Neural Network for Recommendation. AAAI 2019: 4983-4991 - [i6]Su-Jin Shin, Kyungwoo Song, Il-Chul Moon:
Hierarchically Clustered Representation Learning. CoRR abs/1901.09906 (2019) - [i5]Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. CoRR abs/1904.09816 (2019) - [i4]Kyungwoo Song, Wonsung Lee, Il-Chul Moon:
Neural Ideal Point Estimation Network. CoRR abs/1904.11727 (2019) - [i3]Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context enabled Recurrent Neural Network for Recommendation. CoRR abs/1904.12674 (2019) - [i2]Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon:
Bivariate Beta LSTM. CoRR abs/1905.10521 (2019) - [i1]Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon:
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. CoRR abs/1911.06478 (2019) - 2018
- [c4]Kyungwoo Song, Wonsung Lee, Il-Chul Moon:
Neural Ideal Point Estimation Network. AAAI 2018: 2411-2418 - 2017
- [c3]Wonsung Lee, Kyungwoo Song, Il-Chul Moon:
Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information. CIKM 2017: 1139-1148 - 2016
- [c2]Kyungwoo Song, Sang-Hyeon Kim, Jinhyung Tak, Han-Lim Choi, Il-Chul Moon:
Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles. FUSION 2016: 17-24 - 2015
- [j1]Kyungwoo Song, Qin Wang, Yuxi Zheng:
The Regularity of Semihyperbolic Patches Near Sonic Lines for The 2-D Euler System in Gas Dynamics. SIAM J. Math. Anal. 47(3): 2200-2219 (2015) - 2014
- [c1]Kyungwoo Song, Do-Hyeong Kim, Su-Jin Shin, Il-Chul Moon:
Identifying the evolution of disasters and responses with network-text analysis. SMC 2014: 664-671
Coauthor Index
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