Park, Jungwuk

7 publications

ICLR 2025 Adaptive Energy Alignment for Accelerating Test-Time Adaptation Wonjeong Choi, Do-Yeon Kim, Jungwuk Park, Jungmoon Lee, Younghyun Park, Dong-Jun Han, Jaekyun Moon

AAAI 2024 Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration Wonjeong Choi, Jungwuk Park, Dong-Jun Han, Younghyun Park, Jaekyun Moon

ICLRW 2023 Distribution Aware Active Learning via Gaussian Mixtures Younghyun Park, Dong-Jun Han, Jungwuk Park, Wonjeong Choi, Humaira Kousar, Jaekyun Moon

NeurIPS 2023 NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks Seokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon

NeurIPS 2023 StableFDG: Style and Attention Based Learning for Federated Domain Generalization Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher Brinton, Jaekyun Moon

ICML 2023 Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization Jungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon

NeurIPS 2021 Sageflow: Robust Federated Learning Against Both Stragglers and Adversaries Jungwuk Park, Dong-Jun Han, Minseok Choi, Jaekyun Moon