Song, Kyungwoo

37 publications

ICLR 2026 Multi-LLM Adaptive Conformal Inference for Reliable LLM Response Kangjun Noh, Seongchan Lee, Ilmun Kim, Kyungwoo Song

ICLR 2026 Semi-Supervised Preference Optimization with Limited Feedback Seonggyun Lee, Sungjun Lim, Seojin Park, Soeun Cheon, Kyungwoo Song

ICLR 2026 Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness Subeen Park, Joowang Kim, Hakyung Lee, Sunjae Yoo, Kyungwoo Song

ICLR 2026 Uncertainty-Driven Embedding Convolution Sungjun Lim, Kangjun Noh, Youngjun Choi, Heeyoung Lee, Kyungwoo Song

ICLR 2025 Brain-Inspired $L_p$-Convolution Benefits Large Kernels and Aligns Better with Visual Cortex Jea Kwon, Sungjun Lim, Kyungwoo Song, C. Justin Lee

NeurIPS 2025 CCL: Causal-Aware In-Context Learning for Out-of-Distribution Generalization Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang, Taero Kim, Jihee Kim, Kyungwoo Song

ICLR 2025 DaWin: Training-Free Dynamic Weight Interpolation for Robust Adaptation Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han

WACV 2025 Enhancing Visual Classification Using Comparative Descriptors Hankyeol Lee, Gawon Seo, Wonseok Choi, Geunyoung Jung, Kyungwoo Song, Jiyoung Jung

UAI 2025 Flat Posterior Does Matter for Bayesian Model Averaging Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song

ICLRW 2025 Flat Posterior for Bayesian Model Averaging Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song

CVPRW 2025 IMC: A Benchmark for Invariant Learning Under Multiple Causes Taero Kim, Seonggyun Lee, Joonseong Kang, Youngjun Choi, Wonsang Yun, Nicole Hee-Yeon Kim, Ziyu Chen, Lexing Xie, Kyungwoo Song

CVPR 2025 Sufficient Invariant Learning for Distribution Shift Taero Kim, Subeen Park, Sungjun Lim, Yonghan Jung, Krikamol Muandet, Kyungwoo Song

NeurIPSW 2024 Adapting Foundation Models via Training-Free Dynamic Weight Interpolation Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han

ICLRW 2024 Brain-Inspired $L_p$-Convolution Benefits Large Kernels and Aligns Better with Visual Cortex Jea Kwon, Kyungwoo Song, C. Justin Lee

NeurIPSW 2024 Efficient Transfer Learning Driven by Layer-Wise Features Aggregation Chanwoo Kim, Jeyoon Yeom, Joowang Kim, Suho Kang, Kyungwoo Song

ECCV 2024 Online Continuous Generalized Category Discovery Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park

CVPR 2024 Pre-Trained Vision and Language Transformers Are Few-Shot Incremental Learners Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park

NeurIPS 2024 Towards Calibrated Robust Fine-Tuning of Vision-Language Models Changdae Oh, Hyesu Lim, Mijoo Kim, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander Hauptmann, Zhi-Qi Cheng, Kyungwoo Song

CVPR 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

NeurIPS 2023 Geodesic Multi-Modal Mixup for Robust Fine-Tuning Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song

ICML 2023 SAAL: Sharpness-Aware Active Learning Yoon-Yeong Kim, Youngjae Cho, Joonho Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

NeurIPSW 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

ICML 2022 Efficient Approximate Inference for Stationary Kernel on Frequency Domain Yohan Jung, Kyungwoo Song, Jinkyoo Park

ICML 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

ICMLW 2022 Improving Group-Based Robustness and Calibration via Ordered Risk and Confidence Regularization Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, Il-chul Moon

ICML 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

NeurIPS 2022 Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation JoonHo Jang, Byeonghu Na, Dong Hyeok Shin, Mingi Ji, Kyungwoo Song, Il-chul Moon

AAAI 2021 Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon

AAAI 2021 Implicit Kernel Attention Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon

NeurIPS 2021 LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-chul Moon

AAAI 2020 Bivariate Beta-LSTM Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon

IJCAI 2020 Context Aware Sequence Modeling Kyungwoo Song

AAAI 2020 Hierarchically Clustered Representation Learning Su-Jin Shin, Kyungwoo Song, Il-Chul Moon

AAAI 2020 Sequential Recommendation with Relation-Aware Kernelized Self-Attention Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon

AAAI 2019 Adversarial Dropout for Recurrent Neural Networks Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon

AAAI 2019 Hierarchical Context Enabled Recurrent Neural Network for Recommendation Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon

AAAI 2018 Neural Ideal Point Estimation Network Kyungwoo Song, Wonsung Lee, Il-Chul Moon