Kim, Taesup

27 publications

ICLR 2026 Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models Yujin Jo, Taesup Kim

ICLR 2026 PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection Junseo Hwang, Wonguk Cho, Taesup Kim

ICLR 2026 Preserve and Personalize: Personalized Text-to-Image Diffusion Models Without Distributional Drift Gihoon Kim, Hyungjin Park, Taesup Kim

ICLR 2026 Sparse Imagination for Efficient Visual World Model Planning Junha Chun, Youngjoon Jeong, Taesup Kim

ICLR 2026 Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness Jinkwan Jang, Hyungjin Park, Jinmyeong Choi, Taesup Kim

ICCV 2025 ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction Juan Yeo, Soonwoo Cha, Jiwoo Song, Hyunbin Jin, Taesup Kim

ICLRW 2025 Object-Centric World Model for Language-Guided Manipulation Youngjoon Jeong, Junha Chun, Soonwoo Cha, Taesup Kim

WACV 2025 Retaining and Enhancing Pre-Trained Knowledge in Vision-Language Models with Prompt Ensembling Donggeun Kim, Yujin Jo, Myungjoo Lee, Taesup Kim

NeurIPS 2024 Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli

ECCV 2024 Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models Taesup Kim, Donggeun Kim

ICCV 2023 Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning Wonguk Cho, Jinha Park, Taesup Kim

JMLR 2023 Flexible Model Aggregation for Quantile Regression Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani

CVPR 2023 Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee

CoLLAs 2023 Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor

ICLRW 2023 Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor

ICMLW 2023 UOTA: Unsupervised Open-Set Task Adaptation Using a Vision-Language Foundation Model Youngjo Min, Kwangrok Ryoo, Bumsoo Kim, Taesup Kim

NeurIPS 2022 Adaptive Interest for Emphatic Reinforcement Learning Martin Klissarov, Rasool Fakoor, Jonas W Mueller, Kavosh Asadi, Taesup Kim, Alexander J Smola

ICMLW 2022 Adaptive Interest for Emphatic Reinforcement Learning Martin Klissarov, Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Taesup Kim, Alex Smola

ICMLW 2022 Efficient Task Adaptation by Mixing Discovered Skills Jungsub Rhim, Eunseok Yang, Taesup Kim

NeurIPS 2022 Faster Deep Reinforcement Learning with Slower Online Network Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J Smola

AAAI 2021 Visual Concept Reasoning Networks Taesup Kim, Sungwoong Kim, Yoshua Bengio

CVPR 2019 Edge-Labeling Graph Neural Network for Few-Shot Learning Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo

NeurIPS 2019 Fast AutoAugment Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim

NeurIPS 2019 Variational Temporal Abstraction Taesup Kim, Sungjin Ahn, Yoshua Bengio

NeurIPS 2018 Bayesian Model-Agnostic Meta-Learning Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn

ICLR 2018 PixelDefend: Leveraging Generative Models to Understand and Defend Against Adversarial Examples Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman

CVPR 2011 Variable Grouping for Energy Minimization Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo