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Yaoliang Yu

  1. DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
    2020/04/27 by Ji Xin, Raphael Tang, Xin, Ji +7 · 26 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
  2. Federated Learning Meets Multi-objective Optimization
    2020/06/20 by Zeou Hu, Kiarash Shaloudegi, Hu, Zeou +5 · 8 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  3. Analysis of Kernel Mean Matching under Covariate Shift
    2012/06/18 by Yaoliang Yu, Yu, Yaoliang, Csaba Szepesv ri +1 · 4 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  4. Quantifying and Improving Transferability in Domain Generalization
    2021/06/07 by Guojun Zhang, Zhang, Guojun, Han Zhao +5 · 4 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Fetal and Pediatric Neurological Disorders
  5. Distributed Proximal Gradient Algorithm for Partially Asynchronous\n Computer Clusters
    2017/04/11 by Yi Zhou, Yaoliang Yu, Zhou, Yi +7 · 2 citations
    Computer Science · Engineering · #Complexity and Algorithms in Graphs #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  6. Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
    2023/03/07 by Yiwei Lu, Lu, Yiwei, Gautam Kamath +3 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications
  7. Stochastic Forward-Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets
    2025/02/08 by Haoye Lu, Qifan Wu, Lu, Haoye +3 · 5 citations
    Computer Science · #Gaussian Processes and Bayesian Inference
  8. Structure Preserving Diffusion Models
    2024/02/29 by Haoye Lu, Lu, Haoye, Spencer Szabados +3 · 2 citations
    Computer Science · #Advanced Mathematical Modeling in Engineering #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Provably noise-robust, regularised k-means clustering
    2017/11/30 by Shrinu Kushagra, Yaoliang Yu, Kushagra, Shrinu +3 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Remote-Sensing Image Classification #Sparse and Compressive Sensing Techniques
  10. Stronger and Faster Wasserstein Adversarial Attacks
    2020/08/06 by Kaiwen Wu, Wu, Kaiwen, Allen Wang +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
    2024/10/06 by Ruinan Jin, Jin, Ruinan, Xiao Li +5 · 3 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  12. Proportional Fairness in Federated Learning
    2022/02/03 by Guojun Zhang, Zhang, Guojun, Saber Malekmohammadi +5 · 1 citation
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data
  13. Indiscriminate Data Poisoning Attacks on Neural Networks
    2022/04/19 by Yiwei Lu, Gautam Kamath, Lu, Yiwei +3 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
  14. DP2-VAE: Differentially Private Pre-trained Variational Autoencoders
    2022/08/05 by Dihong Jiang, Guojun Zhang, Jiang, Dihong +9 · 1 citation
    Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  15. Disguised Copyright Infringement of Latent Diffusion Models
    2024/04/10 by Yiwei Lu, Matthew Y. R. Yang, Lu, Yiwei +7 · 2 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Image Processing and 3D Reconstruction #Machine Learning and Data Classification
  16. Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
    2024/02/27 by Yiwei Lu, Lu, Yiwei, Yaoliang Yu +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  17. Last-iterate Convergence in Regularized Graphon Mean Field Game
    2024/10/11 by Jing Dong, Dong, Jing, Baoxiang Wang +3 · 1 citation
    Computer Science · Mathematics · #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Matrix Theory and Algorithms #Stochastic processes and statistical mechanics #advanced mathematical theories
  18. One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently
    2024/10/31 by Wenwen Li, Yaoliang Yu, Li, Weida +1 · 1 citation
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG)