5 citations · 9 across the 6 of their papers we have counts for
9 papers
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
Ren Wang, Haoliang Sun, Qi Wei +3
Meta-learning methods typically follow a two-loop framework, where each loop potentially suffers from notorious overfitting, hindering rapid adaptation and generalization to new ta…
Exploring Linear Feature Disentanglement For Neural Networks
Tiantian He, Zhibin Li, Yongshun Gong +3
Non-linear activation functions, e.g., Sigmoid, ReLU, and Tanh, have achieved great success in neural networks (NNs). Due to the complex non-linear characteristic of samples, the o…
Series Photo Selection via Multi-view Graph Learning
Jin Huang, Lu Zhang, Yongshun Gong +3
Series photo selection (SPS) is an important branch of the image aesthetics quality assessment, which focuses on finding the best one from a series of nearly identical photos. Whil…
A Survey on Natural Language Video Localization
Xinfang Liu, Xiushan Nie, Zhifang Tan +2
Natural language video localization (NLVL), which aims to locate a target moment from a video that semantically corresponds to a text query, is a novel and challenging task. Toward…
Attention Model Enhanced Network for Classification of Breast Cancer Image
Xiao Kang, Xingbo Liu, Xiushan Nie +2
Breast cancer classification remains a challenging task due to inter-class ambiguity and intra-class variability. Existing deep learning-based methods try to confront this challeng…
Learning Binary Semantic Embedding for Histology Image Classification and Retrieval
Xiao Kang, Xingbo Liu, Xiushan Nie +1
With the development of medical imaging technology and machine learning, computer-assisted diagnosis which can provide impressive reference to pathologists, attracts extensive rese…