Seonghwan Park

Affiliations:
  • Pohang University of Science and Technology (POSTECH), Pohang, South Korea


According to our database1, Seonghwan Park authored at least 3 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations.
CoRR, May, 2025

ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023
FedFwd: Federated Learning without Backpropagation.
CoRR, 2023


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