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Deng, Zhun

  1. Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
    2023/10/01 by Yiyang Zhou, Zhou, Yiyang, Chenhang Cui +13 · 1 voice · 51 citations
    Computer Science · Medicine · #Multimodal Machine Learning Applications #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning
  2. How Does Information Bottleneck Help Deep Learning?
    2023/05/30 by Kawaguchi, Kenji, Deng, Zhun, Ji, Xu +1 · 24 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  3. How Does Mixup Help With Robustness and Generalization?
    2020/10/09 by Zhang, Linjun, Deng, Zhun, Kawaguchi, Kenji +2 · 12 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. The Power of Contrast for Feature Learning: A Theoretical Analysis
    2021/10/06 by Ji, Wenlong, Deng, Zhun, Nakada, Ryumei +2 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. An Unconstrained Layer-Peeled Perspective on Neural Collapse
    2021/10/06 by Wenlong Ji, Yiping Lu, Ji, Wenlong +7 · 5 citations
    Computer Science · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
  6. Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations
    2020/06/20 by Zhun Deng, Deng, Zhun, Frances Ding +11 · 4 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
  7. Toward Better Generalization Bounds with Locally Elastic Stability
    2020/10/27 by Zhun Deng, Deng, Zhun, Hangfeng He +3 · 4 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  8. Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach
    2022/11/07 by Jiayao Zhang, Hongming Zhang, Zhang, Jiayao +5 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #Computers and Society (cs.CY) #Expert finding and Q&A systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  9. Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data
    2023/02/13 by Ryumei Nakada, Nakada, Ryumei, Halil Ibrahim Gulluk +9 · 4 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Radiomics and Machine Learning in Medical Imaging
  10. Learning and Forgetting Unsafe Examples in Large Language Models
    2023/12/20 by Zhao, Jiachen, Deng, Zhun, Madras, David +2 · 5 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. When and How Mixup Improves Calibration
    2021/02/11 by Linjun Zhang, Zhang, Linjun, Zhun Deng +5 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  12. An Economic Solution to Copyright Challenges of Generative AI
    2024/04/22 by Jiachen T. Wang, Zhun Deng, Wang, Jiachen T. +7 · 4 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Economics and business #General Economics (econ.GN) #Law, AI, and Intellectual Property #Machine Learning (cs.LG) #Methodology (stat.ME)
  13. Robustness Implies Generalization via Data-Dependent Generalization Bounds
    2022/06/27 by Kenji Kawaguchi, Kawaguchi, Kenji, Zhun Deng +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Probability (math.PR)
  14. HappyMap: A Generalized Multi-calibration Method
    2023/03/08 by Zhun Deng, Cynthia Dwork, Deng, Zhun +3 · 2 citations
    Computer Science · #Computers and Society (cs.CY) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME)
  15. Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
    2023/04/08 by Mao, Yuzhen, Deng, Zhun, Yao, Huaxiu +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
    2023/11/22 by Thomas P. Zollo, Zollo, Thomas P., Todd Morrill +9 · 2 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech and dialogue systems #Topic Modeling
  17. Can AI Be as Creative as Humans?
    2024/01/03 by Haonan Wang, Wang, Haonan, James Zou +18 · 2 citations
    Materials Science · Computer Science · Social Sciences · #Machine Learning in Materials Science #Topic Modeling #Language and cultural evolution
  18. Architecture Selection via the Trade-off Between Accuracy and Robustness
    2019/06/04 by Zhun Deng, Deng, Zhun, Cynthia Dwork +5 · 1 citation
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
    2024/03/08 by Huiying Zhong, Zhong, Huiying, Zhun Deng +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Reinforcement Learning in Robotics
  20. Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
    2022/12/27 by Snell, Jake C., Zollo, Thomas P., Deng, Zhun +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  21. Statistical Inference under Performativity
    2025/05/24 by Li, Xiang, Li, Yunai, Zhong, Huiying +2 · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  22. Improving Predictor Reliability with Selective Recalibration
    2024/10/07 by Thomas P. Zollo, Zhun Deng, Zollo, Thomas P. +7 · 2 citations
    Engineering · #Fault Detection and Control Systems
  23. Conformal Tail Risk Control for Large Language Model Alignment
    2025/02/27 by Chen, Catherine Yu-Chi, Shen, Jingyan, Zhun Deng +3 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Hate Speech and Cyberbullying Detection
  24. Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
    2025/05/30 by Li, Victor, Chen, Baiting, Mao, Yuzhen +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)