453 citations · 1.5k across the 44 of their papers we have counts for
5 papers · 1 filter
Class-aware Information for Logit-based Knowledge Distillation
Shuoxi Zhang, Hanpeng Liu, John E. Hopcroft +1
Knowledge distillation aims to transfer knowledge to the student model by utilizing the predictions/features of the teacher model, and feature-based distillation has recently shown…
On the Complexity of Bayesian Generalization
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft +6
We consider concept generalization at a large scale in the diverse and natural visual spectrum. Established computational modes (i.e., rule-based or similarity-based) are primarily…
Local Magnification for Data and Feature Augmentation
Kun He, Chang Liu, Stephen Lin +1
In recent years, many data augmentation techniques have been proposed to increase the diversity of input data and reduce the risk of overfitting on deep neural networks. In this wo…
HoSIM: Higher-order Structural Importance based Method for Multiple Local Community Detection
Boyu Li, Meng Wang, John E. Hopcroft +1
Local community detection has attracted much research attention recently, and many methods have been proposed for the single local community detection that finds a community contai…
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
Binghui Li, Jikai Jin, Han Zhong +2
It is well-known that modern neural networks are vulnerable to adversarial examples. To mitigate this problem, a series of robust learning algorithms have been proposed. However, a…