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Serena Yeung

  1. Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
    2022/03/03 by Weixin Liang, Yuhui Zhang, Liang, Weixin +7 · 83 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
  2. Personalized Federated Learning with First Order Model Optimization
    2020/12/15 by Michael Zhang, Karan Sapra, Zhang, Michael +7 · 12 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Data Quality and Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  3. Hyperbolic Deep Learning in Computer Vision: A Survey
    2023/05/11 by Pascal Mettes, Mettes, Pascal, Mina Ghadimi Atigh +7 · 16 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Topological and Geometric Data Analysis #Domain Adaptation and Few-Shot Learning #Fractal and DNA sequence analysis
  4. Why are Visually-Grounded Language Models Bad at Image Classification?
    2024/05/28 by Yuhui Zhang, Alyssa Unell, Zhang, Yuhui +11 · 19 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
  5. Diagnosing and Rectifying Vision Models using Language
    2023/02/08 by Yuhui Zhang, Zhang, Yuhui, Jeff Z. HaoChen +9 · 10 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Digital Imaging for Blood Diseases
  6. Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
    2024/03/19 by Elaine Sui, Sui, Elaine, Xiaohan Wang +3 · 13 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  7. Tackling Over-pruning in Variational Autoencoders
    2017/06/09 by Serena Yeung, Yeung, Serena, Anitha Kannan +5 · 7 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Music and Audio Processing
  8. Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks
    2018/02/24 by Amy Jin, Jin, Amy, Serena Yeung +11 · 5 citations
    Medicine · Engineering · #Surgical Simulation and Training #Anatomy and Medical Technology #Cardiac, Anesthesia and Surgical Outcomes
  9. Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
    2018/11/25 by Edward Chou, Josh Beal, Chou, Edward +9 · 7 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data
  10. DataPerf: Benchmarks for Data-Centric AI Development
    2022/07/20 by Mark Mazumder, Colby Banbury, Mazumder, Mark +78 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  11. Holistic 3D Human and Scene Mesh Estimation from Single View Images
    2020/12/02 by Zhenzhen Weng, Serena Yeung, Weng, Zhenzhen +1 · 4 citations
    Computer Science · #Human Pose and Action Recognition #Advanced Vision and Imaging #Video Surveillance and Tracking Methods
  12. Revisiting Active Learning in the Era of Vision Foundation Models
    2024/01/25 by Sanket Rajan Gupte, Josiah Aklilu, Gupte, Sanket Rajan +5 · 5 citations
    Medicine · Computer Science · #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  13. INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis
    2023/11/17 by Shih-Cheng Huang, Zepeng Huo, Huang, Shih-Cheng +15 · 4 citations
    Medicine · #Venous Thromboembolism Diagnosis and Management #Acute Ischemic Stroke Management #Radiomics and Machine Learning in Medical Imaging
  14. Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation
    2023/02/08 by Yuhui Zhang, Shih-Cheng Huang, Zhang, Yuhui +7 · 3 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging
  15. Video Pretraining Advances 3D Deep Learning on Chest CT Tasks
    2023/04/02 by Alexander Ke, Ke, Alexander, Shih-Cheng Huang +9 · 1 citation
    Medicine · Engineering · #Radiomics and Machine Learning in Medical Imaging #Medical Imaging Techniques and Applications #Medical Imaging and Analysis
  16. Data or Language Supervision: What Makes CLIP Better than DINO?
    2025/10/13 by Yiming Liu, Yuhui Zhang, Liu, Yiming +7 · 1 citation
    Arts and Humanities · #Second Language Learning and Teaching