Kim, Do-Yeon

6 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

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

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

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