Song, Hwanjun

25 publications

ICLR 2025 RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, Jae-Gil Lee

ICCV 2025 Robust Dataset Condensation Using Supervised Contrastive Learning Nicole Hee-Yeon Kim, Hwanjun Song

AAAI 2024 Adaptive Shortcut Debiasing for Online Continual Learning Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee

ECCV 2024 Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-Defined Highlights Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai

NeurIPS 2024 Exploiting Representation Curvature for Boundary Detection in Time Series Yooju Shin, Jaehyun Park, Hwanjun Song, Susik Yoon, Byung Suk Lee, Jae-Gil Lee

ICML 2024 One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee

AAAI 2024 Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy Against Imbalance and Noise Hwanjun Song, Minseok Kim, Jae-Gil Lee

ICML 2023 Context Consistency Regularization for Label Sparsity in Time Series Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee

ICCV 2023 Generating Instance-Level Prompts for Rehearsal-Free Continual Learning Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song

ICLR 2023 Online Boundary-Free Continual Learning by Scheduled Data Prior Hyunseo Koh, Minhyuk Seo, Jihwan Bang, Hwanjun Song, Deokki Hong, Seulki Park, Jung-Woo Ha, Jonghyun Choi

CVPR 2023 Re-Thinking Federated Active Learning Based on Inter-Class Diversity SangMook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun

NeurIPS 2023 Robust Data Pruning Under Label Noise via Maximizing Re-Labeling Accuracy Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee

AAAI 2022 COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee

ICLR 2022 Coherence-Based Label Propagation over Time Series for Accelerated Active Learning Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee

ICML 2022 Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song

AAAI 2022 Meta-Learning for Online Update of Recommender Systems Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee

NeurIPS 2022 Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-Set Active Learning Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee

CVPR 2022 Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi

ICML 2022 Time Is MattEr: Temporal Self-Supervision for Video Transformers Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin

NeurIPS 2022 Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun

ICLR 2022 ViDT: An Efficient and Effective Fully Transformer-Based Object Detector Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang

AAAI 2021 PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee

NeurIPS 2021 Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee

MLJ 2020 Ada-Boundary: Accelerating DNN Training via Adaptive Boundary Batch Selection Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee

ICML 2019 SELFIE: Refurbishing Unclean Samples for Robust Deep Learning Hwanjun Song, Minseok Kim, Jae-Gil Lee