Local Rademacher Complexity for Multi-label Learning

26 October 2014

Papers citing "Local Rademacher Complexity for Multi-label Learning"

10 / 10 papers shown

Title
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 24 8 0 24 Oct 2023
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms Guangzhi Ma Jie Lu Feng Liu Zhen Fang Guangquan Zhang 10 6 0 09 Jun 2022
Fine-grained Generalization Analysis of Vector-valued Learning Liang Wu Antoine Ledent Yunwen Lei Marius Kloft 21 9 0 29 Apr 2021
Optimistic bounds for multi-output prediction Henry W. J. Reeve A. Kabán 26 8 0 22 Feb 2020
SCE: A manifold regularized set-covering method for data partitioning Xuelong Li Quanmao Lu Yongsheng Dong Dacheng Tao 9 21 0 17 Apr 2019
Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion Bo Du Zengmao Wang Lefei Zhang Liangpei Zhang Dacheng Tao 13 85 0 14 Apr 2019
A Regularization Approach for Instance-Based Superset Label Learning Chen Gong Tongliang Liu Yuanyan Tang Jian Yang Jie Yang Dacheng Tao 14 125 0 05 Apr 2019
ICA based on the data asymmetry P. Spurek Jacek Tabor P. Rola M. Ociepka CML 18 2 0 31 Jan 2017
Deep Learning Driven Visual Path Prediction from a Single Image Siyu Huang Xi Li Zhongfei Zhang Zhouzhou He Fei Wu W. Liu Jinhui Tang Yueting Zhuang 51 60 0 27 Jan 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 84 736 0 19 Mar 2014