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Kwang In Kim

9 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

AAAI ×4CVPR ×2ACL ×1ECCV ×1NeurIPS ×1

Frequent coauthors

Wonjin Lee
×1
Kyumin Kim
×1
Sungjae Lee
×1
Jihun Lee
×1
Uyoung Jeong
×1
Jonathan Freer
×1
Seungryul Baek
×1
Hyung Jin Chang
×1
Sungho Jeon
×1
Xinyue Ma
×1
Myeongjae Jeon
×1
Yunpyo An
×1

Papers

  1. Client-level Active Error Correction in Distributed Learning
    AAAI 2026 · Kwang In Kim
  2. Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering
    ACL 2026 ·
    Wonjin Lee
    ,
    Kyumin Kim
    ,
    Sungjae Lee
    ,
    Jihun Lee
    , Kwang In Kim
  3. Diffusion-Based Active Learning for Distributed Client Manifolds
    AAAI 2025 · Kwang In Kim
  4. PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation
    CVPR 2025 ·
    Uyoung Jeong
    ,
    Jonathan Freer
    ,
    Seungryul Baek
    ,
    Hyung Jin Chang
    , Kwang In Kim
  5. REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
    NeurIPS 2025 ·
    Sungho Jeon
    ,
    Xinyue Ma
    , Kwang In Kim,
    Myeongjae Jeon
  6. Active Learning Guided by Efficient Surrogate Learners
    AAAI 2024 ·
    Yunpyo An
    ,
    Suyeong Park
    , Kwang In Kim
  7. Distributed Active Client Selection With Noisy Clients Using Model Association Scores
    ECCV 2024 · Kwang In Kim
  8. In Search of a Data Transformation that Accelerates Neural Field Training
    CVPR 2024 ·
    Junwon Seo
    ,
    Sangyoon Lee
    , Kwang In Kim,
    Jaeho Lee
  9. Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds
    AAAI 2024 · Kwang In Kim