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Yang, Eunho

  1. Lifelong Learning with Dynamically Expandable Networks
    2017/08/04 by Jaehong Yoon, Eunho Yang, Yoon, Jaehong +5 · 87 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #I.2.10 #I.2.6 #Machine Learning (cs.LG)
  2. Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
    2018/05/25 by Yanbin Liu, Juho Lee, Liu, Yanbin +11 · 43 citations
    Computer Science · #68T10 #97R40 #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning and ELM #Neural and Evolutionary Computing (cs.NE)
  3. Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
    2021/06/06 by Dongchan Min, Min, Dongchan, Dong Bok Lee +5 · 22 citations
    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 #Sound (cs.SD) #Speech Recognition and Synthesis #Topic Modeling #electronic engineering #information engineering
  4. Federated Continual Learning with Weighted Inter-client Transfer
    2020/03/06 by Yoon, Jaehong, Jeong, Wonyong, Lee, Giwoong +2 · 16 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Online Coreset Selection for Rehearsal-based Continual Learning
    2021/06/02 by Jaehong Yoon, Yoon, Jaehong, Divyam Madaan +5 · 14 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  6. Scalable and Order-robust Continual Learning with Additive Parameter Decomposition
    2019/02/25 by Jaehong Yoon, Saehoon Kim, Yoon, Jaehong +5 · 10 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  7. No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization
    2024/02/28 by June Yong Yang, Yang, June Yong, Byeongwook Kim +13 · 19 citations
    Computer Science · #Advanced Data Compression Techniques #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
  8. Bootstrapping Neural Processes
    2020/08/07 by Lee, Juho, Lee, Yoonho, Kim, Jungtaek +3 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
    2022/12/06 by Gyeongman Kim, Kim, Gyeongman, Hajin Shim +9 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  10. LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
    2024/10/04 by Doohyuk Jang, Sangup PARK, Jang, Doohyuk +11 · 15 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques
  11. Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
    2020/07/17 by Jaehyung Kim, Youngbum Hur, Kim, Jaehyung +9 · 6 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies
  12. TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
    2022/06/26 by Jaeyun Song, Song, Jaeyun, Joonhyung Park +3 · 6 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning
    2024/10/10 by Hyun Jun Ryu, Ryu, Hyun, Gyeongman Kim +5 · 13 citations
    Computer Science · #Advanced Algebra and Logic #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Semantic Web and Ontologies
  14. Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy
    2025/03/26 by Jeong, Joonhyun, Bae, Seyun, Jung, Yeonsung +2 · 17 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  15. Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
    2018/06/05 by Ingyo Chung, Saehoon Kim, Chung, Ingyo +9 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Time Series Analysis and Forecasting
  16. Uncertainty-Aware Attention for Reliable Interpretation and Prediction
    2018/05/24 by Jay Heo, Haebeom Lee, Heo, Jay +11 · 6 citations
    Computer Science · #Machine Learning in Healthcare #Explainable Artificial Intelligence (XAI) #Topic Modeling
  17. ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models
    2023/05/23 by Kang, Minki, Han, Wooseok, Hwang, Sung Ju +1 · 5 citations
    #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Sound (cs.SD) #electronic engineering #information engineering
  18. Time-Reversal Symmetric ODE Network
    2020/07/22 by Huh, In, Yang, Eunho, Hwang, Sung Ju +1 · 3 citations
    #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
    2020/06/23 by Nguyen, A. Tuan, Jeong, Hyewon, Yang, Eunho +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. Neural Complexity Measures
    2020/08/07 by Yoonho Lee, Lee, Yoonho, Juho Lee +7 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  21. Distilling Linguistic Context for Language Model Compression
    2021/09/17 by Geondo Park, Gyeongman Kim, Park, Geondo +3 · 3 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  22. A Review of Multivariate Distributions for Count Data Derived from the\n Poisson Distribution
    2016/08/31 by David I. Inouye, Inouye, David I., Eunho Yang +5 · 2 citations
    Decision Sciences · Computer Science · #Data Quality and Management #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference
  23. Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
    2022/09/30 by SungYub Kim, Kim, SungYub, Sihwan Park +5 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  24. A General Framework for Mixed Graphical Models
    2014/11/02 by Eunho Yang, Pradeep Ravikumar, Yang, Eunho +9 · 3 citations
    Computer Science · Environmental Science · #Bayesian Methods and Mixture Models #Data Management and Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Soil Geostatistics and Mapping #Statistics Theory (math.ST)
  25. Learning to Sample with Local and Global Contexts in Experience Replay Buffer
    2020/07/14 by Youngmin Oh, Oh, Youngmin, Kimin Lee +7 · 2 citations
    Computer Science · Neuroscience · Psychology · #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mental Health Research Topics #Neural and Behavioral Psychology Studies #Reinforcement Learning in Robotics
  26. CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation
    2024/07/23 by Hajin Shim, Shim, Hajin, Changhun Kim +3 · 5 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction
  27. Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss
    2021/09/05 by Jung Hyun Lee, Jihun Yun, Lee, Jung Hyun +5 · 2 citations
    Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
    2024/04/01 by JungEun Kim, Hangyul Yoon, Kim, JungEun +7 · 4 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  29. PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
    2024/02/20 by Kim, Gyeongman, Jang, Doohyuk, Yang, Eunho · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. On Graphical Models via Univariate Exponential Family Distributions
    2013/01/17 by Yang, Eunho, Ravikumar, Pradeep, Allen, Genevera I. +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  31. Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping
    2023/09/25 by Minki Kang, Wooseok Han, Kang, Minki +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Multimedia (cs.MM) #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
  32. Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
    2015/10/28 by Yang, Eunho, Lozano, Aurélie C. · 1 citation
    #FOS: Computer and information sciences #Machine Learning (stat.ML)
  33. Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
    2024/07/12 by Lee, Jung Hyun, Yang, June Yong, Heo, Byeongho +4 · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  34. Deep Asymmetric Multi-task Feature Learning
    2017/08/01 by Lee, Hae Beom, Yang, Eunho, Hwang, Sung Ju · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  35. TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
    2025/06/05 by Hyeongwon Jang, Chang‐Hun Kim, Jang, Hyeongwon +3 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare
  36. Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
    2019/05/30 by Lee, Hae Beom, Lee, Hayeon, Na, Donghyun +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  37. Cost-effective Interactive Attention Learning with Neural Attention Processes
    2020/06/09 by Jay Heo, Junhyeon Park, Heo, Jay +11 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  38. No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
    2025/09/26 by Le, Thanh-Long V., Jeon, Myeongho, Vu, Kim +2 · 7 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing
    2021/12/16 by Joonhyung Park, June Yong Yang, Park, Joonhyung +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #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) #Visual Attention and Saliency Detection
  40. Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
    2021/12/02 by Yeonsung Jung, Jung, Yeonsung, Hajin Shim +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  41. LANTERN++: Enhancing Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-regressive Models
    2025/02/10 by Park, Sihwan, Jang, Doohyuk, Kim, Sungyub +2 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  42. HybridLinker: Topology-Guided Posterior Sampling for Enhanced Diversity and Validity in 3D Molecular Linker Generation
    2025/02/24 by Ziseok Lee, Hwang, Minyeong, Lee, Ziseok +6 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Chemical Physics (physics.chem-ph) #Chemical Synthesis and Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Monoclonal and Polyclonal Antibodies Research #Wikis in Education and Collaboration
  43. Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing
    2024/10/15 by Yoonjeon Kim, Kim, Yoonjeon, Soohyun Ryu +11 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  44. TEDDY: Trimming Edges with Degree-based Discrimination strategY
    2024/02/02 by Hyunjin Seo, Jihun Yun, Seo, Hyunjin +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  45. Meta Dropout: Learning to Perturb Features for Generalization
    2019/05/30 by Haebeom Lee, Taewook Nam, Lee, Hae Beom +5 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  46. Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing
    2025/04/18 by Kim, Joowon, Lee, Ziseok, Cho, Donghyeon +4 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  47. Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance
    2023/02/26 by Yoonjeon Kim, Hyun‐Su Kim, Kim, Yoonjeon +7 · 1 citation
    Computer Science · Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Tactile and Sensory Interactions
  48. AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
    2024/07/15 by Changhun Kim, Taewon Kim, Kim, Changhun +7 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  49. Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting
    2024/12/28 by Wooseok Han, Han, Wooseok, Minki Kang +5 · 2 citations
    Computer Science · #Speech Recognition and Synthesis #Speech and dialogue systems #Natural Language Processing Techniques
  50. LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
    2024/07/16 by Jung Hyun Lee, Lee, Jung Hyun, Jeonghoon Kim +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech Recognition and Synthesis #Topic Modeling
  51. TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias
    2024/03/30 by Sanghyun Jo, Jo, Sanghyun, Soohyun Ryu +7 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  52. PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
    2024/06/02 by Yeonsung Jung, Jung, Yeonsung, Heecheol Yun +7 · 1 citation
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Robotics and Sensor-Based Localization #Automated Road and Building Extraction
  53. A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
    2024/11/01 by Yeonsung Jung, Jae Yun Song, Jung, Yeonsung +9 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification