Papers
To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer
Yuanyuan Xu, Jun Wang, Jinmao Wei
Generative-Discriminative Complementary Learning
Yanwu Xu, Mingming Gong, Junxiang Chen et al.
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
Xiao Xu, Fang Dong, Yanghua Li et al.
Partial Multi-Label Learning with Label Distribution
Ning Xu, Yun-Peng Liu, Xin Geng
Adversarial Domain Adaptation with Domain Mixup
Minghao Xu, Jian Zhang, Bingbing Ni et al.
Deep Embedded Complementary and Interactive Information for Multi-View Classification
Jinglin Xu, Wenbin Li, Xinwang Liu et al.
Federated Patient Hashing
Jie Xu, Zhenxing Xu, Peter Walker et al.
Learning Feature Interactions with Lorentzian Factorization Machine
Canran Xu, Ming Wu
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations
Wei Xing, Shireen Elhabian, Robert Kirby et al.
Partial Multi-Label Learning with Noisy Label Identification
Ming-Kun Xie, Sheng-Jun Huang
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient
Jiahao Xie, Zebang Shen, Chao Zhang et al.
Dual Adversarial Co-Learning for Multi-Domain Text Classification
Yuan Wu, Yuhong Guo
Multi-Label Causal Feature Selection
Xingyu Wu, Bingbing Jiang, Kui Yu et al.
SK-Net: Deep Learning on Point Cloud via End-to-End Discovery of Spatial Keypoints
Weikun Wu, Yan Zhang, David Wang et al.
Regional Tree Regularization for Interpretability in Deep Neural Networks
Mike Wu, Sonali Parbhoo, Michael Hughes et al.
Meta-Amortized Variational Inference and Learning
Mike Wu, Kristy Choi, Noah Goodman et al.
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model
Likang Wu, Zhi Li, Hongke Zhao et al.
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering
Jianlong Wu, Xingyu Xie, Liqiang Nie et al.
Vector Quantization-Based Regularization for Autoencoders
Hanwei Wu, Markus Flierl
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
Bingzhe Wu, Chaochao Chen, Shiwan Zhao et al.
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems
Philippe Wenk, Gabriele Abbati, Michael A. Osborne et al.
Towards Certificated Model Robustness Against Weight Perturbations
Tsui-Wei Weng, Pu Zhao, Sijia Liu et al.
Multi-View Multiple Clusterings Using Deep Matrix Factorization
Shaowei Wei, Jun Wang, Guoxian Yu et al.
Less Is Better: Unweighted Data Subsampling via Influence Function
Zifeng Wang, Hong Zhu, Zhenhua Dong et al.