PPaperPicks

Taesup Moon

14 papers at tracked venues · 13 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Sangwon Jung
×4
Dohoon Kim
×3
Jaeseok Byun
×3
Seokhyeon Jeong
×3
Hongjoon Ahn
×3
Sanghyuk Chun
×2
Heewoong Choi
×2
Sungmin Cha
×2
Junho Park
×1
Wonjae Kim
×1
Donghun Kang
×1
Young Kyun Jang
×1

Papers

  1. PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation
    ACL 2026 ·
    Junho Park
    ,
    Dohoon Kim
    , Taesup Moon
  2. An Efficient Post-Hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval
    ICCV 2025 ·
    Jaeseok Byun
    ,
    Seokhyeon Jeong
    ,
    Wonjae Kim
    ,
    Sanghyuk Chun
    , Taesup Moon
  3. DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning
    ACL 2025 ·
    Dohoon Kim
    ,
    Donghun Kang
    , Taesup Moon
  4. MA-CIR: A Multimodal Arithmetic Benchmark for Composed Image Retrieval
    ICCV 2025 ·
    Jaeseok Byun
    ,
    Young Kyun Jang
    ,
    Seokhyeon Jeong
    ,
    Donghyun Kim
    , Taesup Moon
  5. Multi-Group Proportional Representations for Text-to-Image Models
    CVPR 2025 ·
    Sangwon Jung
    ,
    Alex Oesterling
    ,
    Claudio Mayrink Verdun
    ,
    Sajani Vithana
    , Taesup Moon,
    Flávio P. Calmon
  6. Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
    NeurIPS 2025 ·
    Hongjoon Ahn
    ,
    Heewoong Choi
    ,
    Jisu Han
    , Taesup Moon
  7. Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline
    ICLR 2025 ·
    Hongjoon Ahn
    ,
    Jinu Hyeon
    ,
    Youngmin Oh
    ,
    Bosun Hwang
    , Taesup Moon
  8. TLDR: Text Based Last-Layer Retraining for Debiasing Image Classifiers
    WACV 2025 ·
    Juhyeon Park
    ,
    Seokhyeon Jeong
    , Taesup Moon
  9. Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
    ICLR 2024 ·
    Donggyu Lee
    ,
    Sangwon Jung
    , Taesup Moon
  10. Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? - A Theoretical and Empirical Study
    NeurIPS 2024 ·
    Sangwon Jung
    ,
    Sumin Yu
    ,
    Sanghyuk Chun
    , Taesup Moon
  11. Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
    AAAI 2024 ·
    Sungmin Cha
    ,
    Sungjun Cho
    ,
    Dasol Hwang
    ,
    Honglak Lee
    , Taesup Moon,
    Moontae Lee
  12. Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
    ICML 2024 ·
    Heewoong Choi
    ,
    Sangwon Jung
    ,
    Hongjoon Ahn
    , Taesup Moon
  13. MAFA: Managing False Negatives for Vision-Language Pre-Training
    CVPR 2024 ·
    Jaeseok Byun
    ,
    Dohoon Kim
    , Taesup Moon
  14. Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
    ICML 2024 ·
    Sungmin Cha
    ,
    Kyunghyun Cho
    , Taesup Moon