Hwanjun Song

papers

205

total citations

papers (12)

Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries

CVPR 2022arXiv

citations

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty

NEURIPS 2022arXiv

citations

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy

NEURIPS 2023arXiv

citations

Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning

NEURIPS 2022arXiv

citations

Re-Thinking Federated Active Learning Based on Inter-Class Diversity

CVPR 2023arXiv

citations

Adaptive Shortcut Debiasing for Online Continual Learning

AAAI 2024arXiv

citations

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

ICML 2024arXiv

citations

RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models

ICLR 2025

citations

ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback

COLM 2025arXiv

citations

Hwanjun Song

papers (12)

Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy

Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning

Re-Thinking Federated Active Learning Based on Inter-Class Diversity

Adaptive Shortcut Debiasing for Online Continual Learning

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models

ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback

Robust Dataset Condensation using Supervised Contrastive Learning

Generating Instance-level Prompts for Rehearsal-free Continual Learning

Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data

papers (12)

Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy

Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning

Re-Thinking Federated Active Learning Based on Inter-Class Diversity

Adaptive Shortcut Debiasing for Online Continual Learning

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models

ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback

Robust Dataset Condensation using Supervised Contrastive Learning

Generating Instance-level Prompts for Rehearsal-free Continual Learning

Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data