most citedConnecting First and Second Order Recurrent Networks with Deterministic Finite Automata

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG20192 cited

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…

cs.LG2019

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…

cs.IR2018

Gated Attentive-Autoencoder for Content-Aware Recommendation

Chen Ma, Peng Kang, Bin Wu +2

The rapid growth of Internet services and mobile devices provides an excellent opportunity to satisfy the strong demand for the personalized item or product recommendation. However…

cs.LG2018

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…

cs.IR2018

Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence

Chen Ma, Yingxue Zhang, Qinglong Wang +1

The rapid growth of Location-based Social Networks (LBSNs) provides a great opportunity to satisfy the strong demand for personalized Point-of-Interest (POI) recommendation service…