Park, Dongmin

11 publications

ICLR 2025 Active Learning for Continual Learning: Keeping the past Alive in the Present Jaehyun Park, Dongmin Park, Jae-Gil Lee

ICLR 2025 Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho

ICLR 2025 Test-Time Alignment of Diffusion Models Without Reward Over-Optimization Sunwoo Kim, Minkyu Kim, Dongmin Park

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

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

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

NeurIPSW 2022 Active Learning Is a Strong Baseline for Data Subset Selection Dongmin Park, Dimitris Papailiopoulos, Kangwook Lee

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

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