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Author search results
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- Se-Young Yun
aka: Se-young Yun, Seyoung Yun, SeYoung Yun
Korea Advanced Institute of Science and Technology (KAIST), Graduate School of AI Korea, Daejeon, South Korea
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Publication search results
found 197 matches
- 2024
- Kaito Ariu
, Jungseul Ok, Alexandre Proutière, Seyoung Yun:
Optimal clustering from noisy binary feedback. Mach. Learn. 113(5): 2733-2764 (2024) - Yongjin Yang, Taehyeon Kim, Se-Young Yun:
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. AAAI 2024: 16370-16378 - Junghyun Lee, Se-Young Yun, Kwang-Sung Jun:
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion. AISTATS 2024: 4474-4482 - Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun:
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning. CVPR 2024: 12512-12522 - Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun:
Stable Language Model Pre-training by Reducing Embedding Variability. EMNLP 2024: 10852-10863 - Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, SangMook Kim, Se-Young Yun:
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization. EMNLP (Findings) 2024: 6804-6820 - Yongjin Yang, Jongwoo Ko, Se-Young Yun:
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models. EMNLP 2024: 2066-2085 - Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun:
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters. EMNLP 2024: 10789-10802 - Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun:
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions. ICLR 2024 - Mingyu Kim, Jun-Seong Kim, Se-Young Yun, Jin-Hwa Kim:
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs. ICML 2024 - Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun:
DistiLLM: Towards Streamlined Distillation for Large Language Models. ICML 2024 - Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun:
Fine-tuning Pre-trained Models for Robustness under Noisy Labels. IJCAI 2024: 3643-3651 - Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun:
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. NAACL-HLT 2024: 5401-5415 - Jung-Hun Kim, Milan Vojnovic, Se-Young Yun:
An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints. NeurIPS 2024 - Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun:
DistiLLM: Towards Streamlined Distillation for Large Language Models. CoRR abs/2402.03898 (2024) - Taehyeon Kim, Donggyu Kim, Se-Young Yun:
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels. CoRR abs/2402.05353 (2024) - Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun, Joachim M. Buhmann:
Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization. CoRR abs/2402.06974 (2024) - Haeju Lee, Minchan Jeong, Se-Young Yun, Kee-Eung Kim:
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning. CoRR abs/2402.08594 (2024) - Jung-Hun Kim, Milan Vojnovic, Se-Young Yun:
Rotting Infinitely Many-armed Bandits beyond the Worst-case Rotting: An Adaptive Approach. CoRR abs/2404.14202 (2024) - Yongjin Yang, Sihyeon Kim, SangMook Kim, Gyubok Lee, Se-Young Yun, Edward Choi:
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL. CoRR abs/2405.01588 (2024) - Mingyu Kim, Jun-Seong Kim, Se-Young Yun, Jin-Hwa Kim:
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs. CoRR abs/2405.07857 (2024) - Felix den Breejen, Sangmin Bae, Stephen Cha, Se-Young Yun:
Why In-Context Learning Transformers are Tabular Data Classifiers. CoRR abs/2405.13396 (2024) - Minu Kim, Yongsik Lee, Sehyeok Kang, Jihwan Oh, Song Chong, Seyoung Yun:
Preference Alignment with Flow Matching. CoRR abs/2405.19806 (2024) - Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun:
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. CoRR abs/2406.02355 (2024) - Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun:
Block Transformer: Global-to-Local Language Modeling for Fast Inference. CoRR abs/2406.02657 (2024) - Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun:
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters. CoRR abs/2406.16758 (2024) - Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun:
BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models. CoRR abs/2407.00693 (2024) - Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun:
Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition. CoRR abs/2407.03563 (2024) - Junghyun Lee, Se-Young Yun, Kwang-Sung Jun:
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits. CoRR abs/2407.13977 (2024) - Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun:
VACoDe: Visual Augmented Contrastive Decoding. CoRR abs/2408.05337 (2024)
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