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Jung-Woo Ha

  1. StarGAN v2: Diverse Image Synthesis for Multiple Domains
    2019/12/04 by Yunjey Choi, Youngjung Uh, Choi, Yunjey +5 · 73 citations
    Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques #Machine Learning (cs.LG)
  2. Overcoming Catastrophic Forgetting by Incremental Moment Matching
    2017/03/24 by Sang-Woo Lee, Jin-Hwa Kim, Lee, Sang-Woo +7 · 54 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Topic Modeling #Multimodal Machine Learning Applications
  3. Dataset Condensation via Efficient Synthetic-Data Parameterization
    2022/05/30 by Jang-Hyun Kim, Jinuk Kim, Kim, Jang-Hyun +13 · 26 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Speech Recognition and Synthesis
  4. Rainbow Memory: Continual Learning with a Memory of Diverse Samples
    2021/03/31 by Jihwan Bang, Heesu Kim, Bang, Jihwan +7 · 22 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  5. Phase-aware Speech Enhancement with Deep Complex U-Net
    2019/03/07 by Hyeong-Seok Choi, Jang-Hyun Kim, Choi, Hyeong-Seok +9 · 15 citations
    Computer Science · Engineering · #Speech and Audio Processing #Indoor and Outdoor Localization Technologies #Speech Recognition and Synthesis
  6. Dense Text-to-Image Generation with Attention Modulation
    2023/08/24 by Yunji Kim, Jiyoung Lee, Kim, Yunji +7 · 21 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Video Analysis and Summarization
  7. KLUE: Korean Language Understanding Evaluation
    2021/05/20 by Sungjoon Park, Jihyung Moon, Park, Sungjoon +59 · 10 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  8. Dual Attention Networks for Multimodal Reasoning and Matching
    2016/11/02 by Hyeonseob Nam, Jung-Woo Ha, Nam, Hyeonseob +3 · 12 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  9. NSML: Meet the MLaaS platform with a real-world case study
    2018/10/08 by Hanjoo Kim, Kim, Hanjoo, Minkyu Kim +21 · 13 citations
    Computer Science · Decision Sciences · #Data Quality and Management #Data Stream Mining Techniques #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Scientific Computing and Data Management #and Cluster Computing (cs.DC)
  10. Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
    2022/02/21 by Sihyun Yu, Yu, Sihyun, Jihoon Tack +11 · 7 citations
    Computer Science · Engineering · #Generative Adversarial Networks and Image Synthesis #Human Motion and Animation #Human Pose and Action Recognition
  11. NSML: A Machine Learning Platform That Enables You to Focus on Your Models
    2017/12/16 by Nako Sung, Minkyu Kim, Sung, Nako +19 · 7 citations
    Computer Science · #Data Stream Mining Techniques #Distributed #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Parallel #and Cluster Computing (cs.DC)
  12. Metropolis-Hastings Data Augmentation for Graph Neural Networks
    2022/03/26 by Hyeonjin Park, Seunghun Lee, Park, Hyeonjin +13 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Neural Networks and Applications
  13. Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
    2024/04/16 by Woomin Song, Song, Woomin, Seunghyuk Oh +11 · 5 citations
    Computer Science · Decision Sciences · #Semantic Web and Ontologies #Data Mining Algorithms and Applications #Data Quality and Management
  14. Query-Efficient Black-Box Red Teaming via Bayesian Optimization
    2023/05/27 by Lee, Deokjae, JunYeong Lee, Lee, JunYeong +10 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research #Software System Performance and Reliability #Topic Modeling
  15. Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
    2020/07/16 by Dasol Hwang, Jinyoung Park, Hwang, Dasol +9 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Text and Document Classification Technologies
  16. Time Is MattEr: Temporal Self-supervision for Video Transformers
    2022/07/19 by Sukmin Yun, Jaehyung Kim, Yun, Sukmin +9 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG)
  17. SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration
    2023/05/28 by Hwaran Lee, Lee, Hwaran, Seok-Hee Hong +23 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection
  18. Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning
    2021/03/01 by Dasol Hwang, Hwang, Dasol, Jinyoung Park +9 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Domain Adaptation and Few-Shot Learning
  19. Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning
    2017/06/28 by Jaeyoon Yoo, Heonseok Ha, Yoo, Jaeyoon +13 · 2 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Human Pose and Action Recognition
  20. What Changes Can Large-scale Language Models Bring? Intensive Study on\n HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
    2021/09/09 by Boseop Kim, Kim, Boseop, HyoungSeok Kim +70 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  21. AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
    2022/10/08 by Se Jung Kwon, Jeonghoon Kim, Kwon, Se Jung +17 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech Recognition and Synthesis #Topic Modeling
  22. KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application
    2023/05/28 by Hwaran Lee, Seok‐Hee Hong, Lee, Hwaran +9 · 1 citation
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Topic Modeling
  23. Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
    2023/10/28 by Jaemin Na, Jung-Woo Ha, Na, Jaemin +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #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
  24. Large-Scale Answerer in Questioner's Mind for Visual Dialog Question\n Generation
    2019/02/21 by Sangwoo Lee, Tong Gao, Lee, Sang-Woo +8 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications