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Li, Xuechen

  1. On the Opportunities and Risks of Foundation Models
    2021/08/16 by Rishi Bommasani, Bommasani, Rishi, Drew A. Hudson +233 · 11 voices · 541 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Topic Modeling
  2. Foundation Models and Fair Use
    2023/03/28 by Peter Henderson, Henderson, Peter, Xuechen Li +9 · 7 voices · 10 citations
    Business, Management and Accounting · Computer Science · #Copyright and Intellectual Property #Digital Rights Management and Security #Law, AI, and Intellectual Property #cs.AI #cs.CY #cs.LG
  3. AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
    2023/05/22 by Yann Dubois, Xuechen Li, Dubois, Yann +15 · 64 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  4. Large Language Models Can Be Strong Differentially Private Learners
    2021/10/12 by Xuechen Li, Li, Xuechen, Florian Tramèr +5 · 43 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
  5. Scalable Gradients for Stochastic Differential Equations
    2020/01/05 by Li, Xuechen, Wong, Ting-Kam Leonard, Chen, Ricky T. Q. +1 · 27 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
  6. Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks
    2023/02/11 by Daniel Kang, Xuechen Li, Kang, Daniel +9 · 40 citations
    Computer Science · #Topic Modeling #Software Engineering Research #Natural Language Processing Techniques
  7. Neural SDEs as Infinite-Dimensional GANs
    2021/02/06 by Patrick Kidger, James Foster, Kidger, Patrick +7 · 23 citations
    Economics, Econometrics and Finance · Environmental Science · Physics and Astronomy · #FOS: Computer and information sciences #Hydrology and Drought Analysis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Stochastic processes and financial applications
  8. Inference Suboptimality in Variational Autoencoders
    2018/01/10 by Chris Cremer, Cremer, Chris, Xuechen Li +3 · 16 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  9. Efficient and Accurate Gradients for Neural SDEs
    2021/05/27 by Patrick Kidger, James Foster, Kidger, Patrick +5 · 13 citations
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Model Reduction and Neural Networks #Time Series Analysis and Forecasting
  10. Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
    2022/10/25 by Xiang Yue, Huseyin A. Inan, Yue, Xiang +14 · 14 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Digital and Cyber Forensics
  11. Linguistic Calibration of Long-Form Generations
    2024/03/30 by Neil Band, Xuechen Li, Band, Neil +5 · 12 citations
    Computer Science · #Natural Language Processing Techniques
  12. Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations
    2021/02/12 by Xu, Winnie, Chen, Ricky T. Q., Li, Xuechen +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. When Does Preconditioning Help or Hurt Generalization?
    2020/06/18 by Шун-ичи Амари, Jimmy Ba, Amari, Shun-ichi +13 · 4 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
  14. Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
    2019/06/19 by Li, Xuechen, Wu, Denny, Mackey, Lester +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. When Does Differentially Private Learning Not Suffer in High Dimensions?
    2022/07/01 by Xuechen Li, Li, Xuechen, Daogao Liu +11 · 2 citations
    Computer Science · Medicine · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Pharmacological Effects and Toxicity Studies #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  16. Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
    2022/12/03 by Jiyan He, Xuechen Li, He, Jiyan +15 · 2 citations
    Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  17. Isolating Sources of Disentanglement in Variational Autoencoders
    2018/02/14 by Chen, Ricky T. Q., Li, Xuechen, Grosse, Roger +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Scalable Ensembling For Mitigating Reward Overoptimisation
    2024/06/03 by Ahmed, Ahmed M., Rafailov, Rafael, Sharkov, Stepan +2 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction
    2023/06/26 by Xinquan Yang, Yang, Xinquan, Jinheng Xie +11 · 2 citations
    Dentistry · #Computer Vision and Pattern Recognition (cs.CV) #Dental Implant Techniques and Outcomes #Dental Radiography and Imaging #Dental Research and COVID-19 #FOS: Computer and information sciences
  20. TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction
    2023/08/10 by Yang, Xinquan, Xie, Jinheng, Li, Xuechen +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  21. SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis
    2024/06/20 by Cai, Zijian, Yang, Xinquan, Li, Xuguang +5 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences