6 citations · 8 across the 3 of their papers we have counts for
4 papers
Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata
Qinglong Wang, Kaixuan Zhang, Xue Liu +1
We propose an approach that connects recurrent networks with different orders of hidden interaction with regular grammars of different levels of complexity. We argue that the corre…
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks
Kaixuan Zhang, Qinglong Wang, Xue Liu +1
Data samples collected for training machine learning models are typically assumed to be independent and identically distributed (iid). Recent research has demonstrated that this as…
Verification of Recurrent Neural Networks Through Rule Extraction
Qinglong Wang, Kaixuan Zhang, Xue Liu +1
The verification problem for neural networks is verifying whether a neural network will suffer from adversarial samples, or approximating the maximal allowed scale of adversarial p…
Towards Interrogating Discriminative Machine Learning Models
Wenbo Guo, Kaixuan Zhang, Lin Lin +2
It is oftentimes impossible to understand how machine learning models reach a decision. While recent research has proposed various technical approaches to provide some clues as to…