Hyesu Lim
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  • Publications
    • VisualScratchpad: Grounding Visual Concepts in Large Vision Language Models
    • ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
    • CytoSAE: Interpretable Cell Embeddings for Hematology
    • Sparse Autoencoders Reveal Selective Remapping of Visual Concepts During Adaptation
    • Towards Calibrated Robust Fine-Tuning of Vision-Language Models
    • TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
    • AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain

TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation

May 1, 2023·
Hyesu Lim
,
Byeonggeun Kim
,
Jaegul Choo
,
Sungha Choi
· 0 min read
PDF Project poster, slides & video
projects robustness
Last updated on May 1, 2023
Test-Time Adaptation Batch Normalization Domain Shift
← Towards Calibrated Robust Fine-Tuning of Vision-Language Models December 1, 2024
AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain November 1, 2021 →

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