Hee Suk Yoon

Orcid: 0000-0003-2115-8459

According to our database1, Hee Suk Yoon authored at least 13 papers between 2022 and 2024.

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

Timeline

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Links

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Bibliography

2024
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion.
CoRR, 2024

SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue.
CoRR, 2023

Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction.
CoRR, 2023

One-Shot Exemplification Modeling via Latent Sense Representations.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Counterfactual Two-Stage Debiasing For Video Corpus Moment Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2023

HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Selective Query-guided Debiasing Network for Video Corpus Moment Retrieval.
CoRR, 2022

Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Selective Query-Guided Debiasing for Video Corpus Moment Retrieval.
Proceedings of the Computer Vision - ECCV 2022, 2022


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