关注
Xingchen Ma
Xingchen Ma
Amazon
在 amazon.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
Depaudionet: An efficient deep model for audio based depression classification
X Ma, H Yang, Q Chen, D Huang, Y Wang
Proceedings of the 6th international workshop on audio/visual emotion …, 2016
3112016
Meta-cal: Well-controlled post-hoc calibration by ranking
X Ma, MB Blaschko
International Conference on Machine Learning, 7235-7245, 2021
322021
A Bayesian optimization framework for neural network compression
X Ma, AR Triki, M Berman, C Sagonas, J Cali, MB Blaschko
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
262019
Cost-sensitive two-stage depression prediction using dynamic visual clues
X Ma, D Huang, Y Wang, Y Wang
Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017
212017
Confidence-aware personalized federated learning via variational expectation maximization
J Zhu, X Ma, MB Blaschko
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
172023
Additive tree-structured conditional parameter spaces in Bayesian optimization: A novel covariance function and a fast implementation
X Ma, MB Blaschko
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 3024-3036, 2020
82020
Additive tree-structured covariance function for conditional parameter spaces in Bayesian optimization
X Ma, M Blaschko
International Conference on Artificial Intelligence and Statistics, 1015-1025, 2020
72020
Depaudionet: An efficient deep model for audio based depression classification Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge
X Ma, H Yang, Q Chen, D Huang, Y Wang
ACM, 2016
52016
Tackling personalized federated learning with label concept drift via hierarchical bayesian modeling
X Ma, J Zhu, M Blaschko
Online FL-NeurIPS 2022, 2022
22022
A corrected expected improvement acquisition function under noisy observations
H Zhou, X Ma, MB Blaschko
Asian Conference on Machine Learning, 1747-1762, 2024
12024
Uncertainty Estimation in Machine Learning: Applications in Neural Network Compression and Calibration
X Ma
2023
系统目前无法执行此操作,请稍后再试。
文章 1–11