32 citations · 58 across the 3 of their papers we have counts for
5 papers
Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport
Yang Yang, Zhao-Yang Fu, De-Chuan Zhan +2
Complex objects are usually with multiple labels, and can be represented by multiple modal representations, e.g., the complex articles contain text and image information as well as…
Soft Gradient Boosting Machine
Ji Feng, Yi-Xuan Xu, Yuan Jiang +1
Gradient Boosting Machine has proven to be one successful function approximator and has been widely used in a variety of areas. However, since the training procedure of each base l…
Provably Robust Metric Learning
Lu Wang, Xuanqing Liu, Jinfeng Yi +2
Metric learning is an important family of algorithms for classification and similarity search, but the robustness of learned metrics against small adversarial perturbations is less…
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data
Lu Wang, Huan Zhang, Jinfeng Yi +2
Adversarial black-box attacks aim to craft adversarial perturbations by querying input-output pairs of machine learning models. They are widely used to evaluate the robustness of p…
Multi-Label Learning with Deep Forest
Liang Yang, Xi-Zhu Wu, Yuan Jiang +1
In multi-label learning, each instance is associated with multiple labels and the crucial task is how to leverage label correlations in building models. Deep neural network methods…