103 citations · 623 across the 53 of their papers we have counts for
19 papers · 1 filter
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers
Zunlei Feng, Jiacong Hu, Sai Wu +3
Recently, Convolutional Neural Network (CNN) has achieved excellent performance in the classification task. It is widely known that CNN is deemed as a 'black-box', which is hard fo…
Safe Distillation Box
Jingwen Ye, Yining Mao, Jie Song +3
Knowledge distillation (KD) has recently emerged as a powerful strategy to transfer knowledge from a pre-trained teacher model to a lightweight student, and has demonstrated its un…
Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training
Haofei Zhang, Jiarui Duan, Mengqi Xue +3
Recently, vision Transformers (ViTs) are developing rapidly and starting to challenge the domination of convolutional neural networks (CNNs) in the realm of computer vision (CV). W…
A Survey of Deep Learning for Low-Shot Object Detection
Qihan Huang, Haofei Zhang, Mengqi Xue +2
Object detection has achieved a huge breakthrough with deep neural networks and massive annotated data. However, current detection methods cannot be directly transferred to the sce…
A further generalization of the Glauberman-Thompson -nilpotency criterion in fusion systems
Zhencai Shen, Baoyu Zhang
Let be a prime and be a saturated fusion system over a finite -group . The fusion system is said to be nilpotent if $\mathcal{F}=\mathcal{F}_{…
Learning Dynamic Preference Structure Embedding From Temporal Networks
Tongya Zheng, Zunlei Feng, Yu Wang +6
The dynamics of temporal networks lie in the continuous interactions between nodes, which exhibit the dynamic node preferences with time elapsing. The challenges of mining temporal…