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Chen‐Yu Lee

  1. Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
    2023/05/03 by Cheng-Yu Hsieh, Hsieh, Cheng-Yu, Chunliang Li +18 · 5 voices · 109 citations
    Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.AI #cs.CL #cs.LG
  2. Learning to Prompt for Continual Learning
    2021/12/16 by Zifeng Wang, Wang, Zifeng, Zizhao Zhang +17 · 106 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  3. Deeply-Supervised Nets
    2014/09/18 by Chen‐Yu Lee, Saining Xie, Lee, Chen-Yu +7 · 47 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  4. A Simple Semi-Supervised Learning Framework for Object Detection
    2020/05/10 by Kihyuk Sohn, Zizhao Zhang, Sohn, Kihyuk +9 · 17 citations
    Computer Science · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
  5. Multimodal Prompting with Missing Modalities for Visual Recognition
    2023/03/06 by Yi-Lun Lee, Lee, Yi-Lun, Yi–Hsuan Tsai +5 · 13 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
  6. Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization
    2024/06/23 by Cheng-Yu Hsieh, Yung-Sung Chuang, Hsieh, Cheng-Yu +18 · 18 citations
    Neuroscience · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Behavioral Psychology Studies
  7. Learning to Branch for Multi-Task Learning
    2020/06/02 by Pengsheng Guo, Guo, Pengsheng, Chen‐Yu Lee +3 · 8 citations
    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) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  8. Universal Model Routing for Efficient LLM Inference
    2025/02/12 by Wittawat Jitkrittum, Jitkrittum, Wittawat, Harikrishna Narasimhan +19 · 16 citations
    Computer Science · Engineering · #Algorithms and Data Compression #Advanced Data Compression Techniques #Power Systems and Technologies
  9. Training Deeper Convolutional Networks with Deep Supervision
    2015/05/11 by Liwei Wang, Wang, Liwei, Chen‐Yu Lee +5 · 4 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  10. Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems
    2025/02/06 by Shangbin Feng, Zifeng Wang, Feng, Shangbin +20 · 2 voices · 5 citations
    Computer Science · Decision Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Simulation Techniques and Applications #cs.CL
  11. Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection
    2021/06/11 by Jinsung Yoon, Yoon, Jinsung, Kihyuk Sohn +9 · 2 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Influenza Virus Research Studies #Machine Learning (cs.LG)
  12. Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction
    2024/02/16 by Kuniaki Saito, Kihyuk Sohn, Saito, Kuniaki +5 · 3 citations
    Computer Science · #Topic Modeling #Seismology and Earthquake Studies