Hee Suk Yoon

Orcid: 0000-0003-2115-8459

According to our database1, Hee Suk Yoon authored at least 17 papers between 2022 and 2024.

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

Timeline

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Bibliography

2024
Physics Informed Distillation for Diffusion Models.
Trans. Mach. Learn. Res., 2024

LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition.
CoRR, 2024

C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback.
Proceedings of the Findings of the Association for Computational Linguistics, 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
One-Shot Exemplification Modeling via Latent Sense Representations.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 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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