Changdae Oh

Orcid: 0000-0002-9247-8030

According to our database1, Changdae Oh authored at least 16 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
TC-BERT: large-scale language model for Korean technology commercialization documents.
J. Supercomput., January, 2025

2024
Bibimbap : Pre-trained models ensemble for Domain Generalization.
Pattern Recognit., 2024

Language model-guided student performance prediction with multimodal auxiliary information.
Expert Syst. Appl., 2024

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation.
CoRR, 2024

Robust Adaptation of Foundation Models with Black-Box Visual Prompting.
CoRR, 2024

Enhancing Temporal Action Localization: Advanced S6 Modeling with Recurrent Mechanism.
CoRR, 2024

Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding.
CoRR, 2024

Towards Calibrated Robust Fine-Tuning of Vision-Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Towards Calibrated Robust Fine-Tuning of Vision-Language Models.
CoRR, 2023

Robust Contrastive Learning With Dynamic Mixed Margin.
IEEE Access, 2023

Geodesic Multi-Modal Mixup for Robust Fine-Tuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Graph Perceiver IO: A General Architecture for Graph Structured Data.
CoRR, 2022

Multi-Modal Mixup for Robust Fine-tuning.
CoRR, 2022

Learning Fair Representation via Distributional Contrastive Disentanglement.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022


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