Se Young Yun

Se Young Yun

KAIST

H-index: 21

Asia-South Korea

About Se Young Yun

Se Young Yun, With an exceptional h-index of 21 and a recent h-index of 16 (since 2020), a distinguished researcher at KAIST, specializes in the field of Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Optimal clustering from noisy binary feedback

DistiLLM: Towards Streamlined Distillation for Large Language Models

Plastic: Improving input and label plasticity for sample efficient reinforcement learning

Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks

Rotting Infinitely Many-armed Bandits beyond the Worst-case Rotting: An Adaptive Approach

Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning

Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion

Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint

Se Young Yun Information

University

Position

___

Citations(all)

1827

Citations(since 2020)

1302

Cited By

777

hIndex(all)

21

hIndex(since 2020)

16

i10Index(all)

33

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Se Young Yun Skills & Research Interests

Machine learning

Top articles of Se Young Yun

Title

Journal

Author(s)

Publication Date

Optimal clustering from noisy binary feedback

Machine Learning

Kaito Ariu

Jungseul Ok

Alexandre Proutiere

Se-Young Yun

2024

DistiLLM: Towards Streamlined Distillation for Large Language Models

arXiv preprint arXiv:2402.03898

Jongwoo Ko

Sungnyun Kim

Tianyi Chen

Se-Young Yun

2024/2/6

Plastic: Improving input and label plasticity for sample efficient reinforcement learning

Hojoon Lee

Hanseul Cho

Hyunseung Kim

Daehoon Gwak

Joonkee Kim

...

2023/11/2

Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks

Junghyun Lee

Laura Schmid

Se-Young Yun

2024

Rotting Infinitely Many-armed Bandits beyond the Worst-case Rotting: An Adaptive Approach

arXiv preprint arXiv:2404.14202

Jung-hun Kim

Milan Vojnovic

Se-Young Yun

2024/4/22

Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning

arXiv preprint arXiv:2402.08594

Haeju Lee

Minchan Jeong

Se-Young Yun

Kee-Eung Kim

2024/2/13

Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion

Junghyun Lee

Se-Young Yun

Kwang-Sung Jun

2024/4/18

Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint

Junghyun Lee

Hanseul Cho

Se-Young Yun

Chulhee Yun

2023/10/28

Federated learning system for improved representation, federated learning method, and recording medium storing instructions to perform federated learning method

2024/4/4

Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels

arXiv preprint arXiv:2402.05353

Taehyeon Kim

Donggyu Kim

Se-Young Yun

2024/2/8

Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning

Proceedings of the AAAI Conference on Artificial Intelligence

Yongjin Yang

Taehyeon Kim

Se-Young Yun

2024/3/24

Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models

arXiv preprint arXiv:2311.08106

Yujin Kim

Jaehong Yoon

Seonghyeon Ye

Sung Ju Hwang

Se-young Yun

2023/11/14

Toward risk-based optimistic exploration for cooperative multi-agent reinforcement learning

arXiv preprint arXiv:2303.01768

Jihwan Oh

Joonkee Kim

Minchan Jeong

Se-Young Yun

2023/3/3

The StarCraft multi-agent exploration challenges: Learning multi-stage tasks and environmental factors without precise reward functions

IEEE Access

Mingyu Kim

Jihwan Oh

Yongsik Lee

Joonkee Kim

Seonghwan Kim

...

2023/4/12

Test score algorithms for budgeted stochastic utility maximization

INFORMS Journal on Optimization

Dabeen Lee

Milan Vojnovic

Se-Young Yun

2023/1

Mitigating the curse of multilinguality by using federated learning system

한국정보과학회 학술발표논문집

Woojin Chung

Seongyoon Kim

Yongjin Yang

Seyoung Yun

2023/6

A gift from label smoothing: robust training with adaptive label smoothing via auxiliary classifier under label noise

Proceedings of the AAAI Conference on Artificial Intelligence

Jongwoo Ko

Bongsoo Yi

Se-Young Yun

2023/6/26

Cross-Modal Retrieval Meets Inference: Improving Zero-Shot Classification with Cross-Modal Retrieval

arXiv preprint arXiv:2308.15273

Seongha Eom

Namgyu Ho

Jaehoon Oh

Se-Young Yun

2023/8/29

Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning

arXiv preprint arXiv:2311.07343

Felix den Breejen

Sangmin Bae

Stephen Cha

Tae-Young Kim

Seoung Hyun Koh

...

2023/11/13

NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models

arXiv preprint arXiv:2310.10054

Jongwoo Ko

Seungjoon Park

Yujin Kim

Sumyeong Ahn

Du-Seong Chang

...

2023/10/16

See List of Professors in Se Young Yun University(KAIST)

Co-Authors

academic-engine