Moon, Jaekyun

18 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

ICML 2024 Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning Do-Yeon Kim, Dong-Jun Han, Jun Seo, 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

ICLR 2023 Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation Younghyun Park, Wonjeong Choi, Soyeong Kim, Dong-Jun Han, 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 EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning Mohammad Mahdi Rahimi, Hasnain Irshad Bhatti, Younghyun Park, 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

ICLR 2023 Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon

CVPRW 2022 Active Object Detection with Epistemic Uncertainty and Hierarchical Information Aggregation Younghyun Park, Soyeong Kim, Wonjeong Choi, Dong-Jun Han, Jaekyun Moon

ECCVW 2022 Deep Neural Network Compression for Image Inpainting Soyeong Kim, Do-Yeon Kim, Jaekyun Moon

ICML 2022 GenLabel: Mixup Relabeling Using Generative Models Jy-Yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris Papailiopoulos, Kangwook Lee

NeurIPS 2021 Few-Round Learning for Federated Learning Younghyun Park, Dong-Jun Han, Do-Yeon Kim, Jun Seo, Jaekyun Moon

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

NeurIPS 2020 Election Coding for Distributed Learning: Protecting SignSGD Against Byzantine Attacks Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon

ICML 2020 XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Sung Whan Yoon, Do-Yeon Kim, Jun Seo, Jaekyun Moon

ICML 2019 TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning Sung Whan Yoon, Jun Seo, Jaekyun Moon