vix.ing · top · new · best · stats · spec

Se-Young Yun

  1. Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
    2025/07/14 by Sangmin Bae, Bae, Sangmin, Yujin Kim +19 · 6 voices · 29 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.LG
  2. Large Language Models Are Reasoning Teachers
    2022/12/20 by Namgyu Ho, Laura Schmid, Ho, Namgyu +3 · 41 citations
    Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Advanced Graph Neural Networks
  3. FedBABU: Towards Enhanced Representation for Federated Image Classification
    2021/06/04 by Jaehoon Oh, Oh, Jaehoon, Sangmook Kim +3 · 16 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
  4. Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
    2021/06/06 by Gihun Lee, Minchan Jeong, Lee, Gihun +7 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  5. DistiLLM: Towards Streamlined Distillation for Large Language Models
    2024/02/06 by Jongwoo Ko, Sungnyun Kim, Ko, Jongwoo +5 · 23 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  6. Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
    2021/05/19 by Taehyeon Kim, Jaehoon Oh, Kim, Taehyeon +7 · 12 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
  7. FINE Samples for Learning with Noisy Labels
    2021/02/23 by Taehyeon Kim, Kim, Taehyeon, Jongwoo Ko +7 · 8 citations
    Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  8. Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding
    2023/10/09 by Sangmin Bae, Jongwoo Ko, Bae, Sangmin +5 · 12 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
  9. Self-Training Elicits Concise Reasoning in Large Language Models
    2025/02/27 by Tergel Munkhbat, Munkhbat, Tergel, Namgyu Ho +9 · 27 citations
    Computer Science · Medicine · #Topic Modeling #Multimodal Machine Learning Applications #Artificial Intelligence in Healthcare and Education
  10. PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
    2023/06/19 by Hojoon Lee, Lee, Hojoon, Hanseul Cho +13 · 9 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
  11. HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning
    2023/11/01 by Yongjin Yang, Yang, Yongjin, Joonkee Kim +9 · 10 citations
    Computer Science · #Hate Speech and Cyberbullying Detection #Internet Traffic Analysis and Secure E-voting
  12. Accurate Community Detection in the Stochastic Block Model via Spectral Algorithms
    2014/12/23 by Se-Young Yun, Yun, Se-Young, Alexandre Proutière +1 · 5 citations
    Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Opinion Dynamics and Social Influence #Random Matrices and Applications #Social and Information Networks (cs.SI)
  13. Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
    2022/02/01 by Jaehoon Oh, Oh, Jaehoon, Sungnyun Kim +9 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  14. Optimal Cluster Recovery in the Labeled Stochastic Block Model
    2015/10/20 by Se-Young Yun, Alexandre Proutière, Yun, Se-Young +1 · 3 citations
    Computer Science · Mathematics · Physics and Astronomy · #Advanced Clustering Algorithms Research #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR) #Random Matrices and Applications #Social and Information Networks (cs.SI)
  15. Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
    2023/11/01 by Taehyeon Kim, Kim, Taehyeon, Joonkee Kim +5 · 6 citations
    Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  16. Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
    2023/10/28 by Jung-Hyun Lee, Se-Young Yun, Lee, Junghyun +3 · 6 citations
    Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  17. A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
    2024/07/19 by Jung Hyun Lee, Lee, Junghyun, Se-Young Yun +3 · 8 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition
    2023/02/10 by Sumyeong Ahn, Ahn, Sumyeong, Jongwoo Ko +3 · 3 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG)
  19. MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy
    2022/12/07 by Gihun Lee, Sangmook Kim, Lee, Gihun +5 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Engineering · Computer Science · #Cell Image Analysis Techniques #Image Processing Techniques and Applications #Digital Imaging for Blood Diseases
  20. FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
    2023/08/24 by Gihun Lee, Minchan Jeong, Lee, Gihun +7 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  21. Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiers
    2024/05/22 by Felix den Breejen, Sangmin Bae, Breejen, Felix den +5 · 4 citations
    Computer Science · #Anomaly Detection Techniques and Applications
  22. BOIL: Towards Representation Change for Few-shot Learning
    2020/08/20 by Jaehoon Oh, Hyung‐Jun Yoo, Oh, Jaehoon +5 · 5 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Domain Adaptation and Few-Shot Learning #Cancer-related molecular mechanisms research #Multimodal Machine Learning Applications
  23. VACoDe: Visual Augmented Contrastive Decoding
    2024/07/26 by Sihyeon Kim, Bokeum Cho, Kim, Sihyeon +7 · 4 citations
    Computer Science · #Data Visualization and Analytics
  24. Mitigating Dataset Bias by Using Per-sample Gradient
    2022/05/31 by Sumyeong Ahn, Seongyoon Kim, Ahn, Sumyeong +3 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  25. How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation
    2022/05/13 by Yujin Kim, Kim, Yujin, Jaehoon Oh +5 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Multimodal Machine Learning Applications
  26. Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness
    2025/05/29 by Euiin Yi, Yang, Yongjin, Jongwoo Ko +8 · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Reinforcement Learning in Robotics #Topic Modeling
  27. Community Detection via Random and Adaptive Sampling
    2014/02/13 by Se-Young Yun, Alexandre Proutière, Yun, Se-Young +1 · 1 citation
    Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Topological and Geometric Data Analysis
  28. Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval
    2023/08/29 by Seongha Eom, Namgyu Ho, Eom, Seongha +5 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
  29. Parameter Estimation for Thurstone Choice Models
    2017/04/29 by Milan Vojnović, Se-Young Yun, Vojnovic, Milan +1 · 1 citation
    Economics, Econometrics and Finance · Social Sciences · #Electoral Systems and Political Participation #FOS: Mathematics #Game Theory and Voting Systems #Names, Identity, and Discrimination Research #Statistics Theory (math.ST)
  30. Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
    2023/10/28 by Jung-Hyun Lee, Lee, Junghyun, Hanseul Cho +5 · 2 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Face and Expression Recognition #Blind Source Separation Techniques
  31. FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning
    2023/11/22 by Seongyoon Kim, Kim, Seongyoon, Gihun Lee +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  32. Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network
    2021/06/29 by Sangmin Bae, Sungnyun Kim, Bae, Sangmin +9 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Image Enhancement Techniques #Image Processing Techniques and Applications #Machine Learning (cs.LG) #Photoacoustic and Ultrasonic Imaging
  33. A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise
    2022/06/15 by Jongwoo Ko, Ko, Jongwoo, Bongsoo Yi +3 · 1 citation
    Computer Science · Engineering · #Machine Learning and Data Classification #Infrastructure Maintenance and Monitoring
  34. Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models
    2024/10/14 by Yongjin Yang, Yang, Yongjin, Sihyeon Kim +11 · 2 citations
    Computer Science · Social Sciences · #Speech Recognition and Synthesis #Computational and Text Analysis Methods #Advanced Data Compression Techniques
  35. Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction
    2022/06/30 by Taehyeon Kim, Namgyu Ho, Kim, Taehyeon +5 · 1 citation
    Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis
  36. C2: Scalable Auto-Feedback for LLM-based Chart Generation
    2024/10/24 by W.J. Koh, Koh, Woosung, Ji Hye Yoon +16 · 2 citations
    Computer Science · #Advanced Computational Techniques and Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques
  37. KLASS: KL-Guided Fast Inference in Masked Diffusion Models
    2025/11/07 by S. Kim, Kim, Seo Hyun, Hong, Sunwoo +6 · 3 citations
    Computer Science · Social Sciences · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Computational and Text Analysis Methods
  38. Non-backtracking Graph Neural Networks
    2023/10/11 by S.H. Park, Narae Ryu, Park, Seonghyun +9 · 1 citation
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
  39. Fine tuning Pre trained Models for Robustness Under Noisy Labels
    2023/10/24 by Sumyeong Ahn, Ahn, Sumyeong, Sihyeon Kim +5 · 1 citation
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence #Computer Science #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Water Systems and Optimization
  40. Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition
    2024/07/04 by Sungnyun Kim, Kangwook Jang, Kim, Sungnyun +7 · 2 citations
    Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Music and Audio Processing #Speech and Audio Processing #electronic engineering #information engineering
  41. Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL
    2024/04/29 by Yongjin Yang, Sihyeon Kim, Yang, Yongjin +9 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  42. MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
    2025/02/11 by Sungnyun Kim, Kangwook Jang, Kim, Sungnyun +7 · 1 citation
    Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
  43. Conditional Synthesis of 3D Molecules with Time Correction Sampler
    2024/11/01 by Hojung Jung, Jung, Hojung, Park, Youngrok +11 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Chemistry · #Artificial Intelligence (cs.AI) #Chemical Synthesis and Analysis #FOS: Computer and information sciences #Inorganic and Organometallic Chemistry #Machine Learning (cs.LG) #Various Chemistry Research Topics
  44. GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression
    2025/06/03 by Jung-Hyun Lee, Lee, Junghyun, Kyoungseok Jang +7 · 2 citations
    Decision Sciences · Computer Science · Engineering · #Advanced Bandit Algorithms Research #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques