64 citations · 76 across the 5 of their papers we have counts for
5 papers · 1 filter
Towards Interaction Detection Using Topological Analysis on Neural Networks
Zirui Liu, Qingquan Song, Kaixiong Zhou +3
Detecting statistical interactions between input features is a crucial and challenging task. Recent advances demonstrate that it is possible to extract learned interactions from tr…
Techniques for Automated Machine Learning
Yi-Wei Chen, Qingquan Song, Xia Hu
Automated machine learning (AutoML) aims to find optimal machine learning solutions automatically given a machine learning problem. It could release the burden of data scientists f…
Coupled Variational Recurrent Collaborative Filtering
Qingquan Song, Shiyu Chang, Xia Hu
We focus on the problem of streaming recommender system and explore novel collaborative filtering algorithms to handle the data dynamicity and complexity in a streaming manner. Alt…
Multi-Label Adversarial Perturbations
Qingquan Song, Haifeng Jin, Xiao Huang +1
Adversarial examples are delicately perturbed inputs, which aim to mislead machine learning models towards incorrect outputs. While most of the existing work focuses on generating…
Auto-Keras: An Efficient Neural Architecture Search System
Haifeng Jin, Qingquan Song, Xia Hu
Neural architecture search (NAS) has been proposed to automatically tune deep neural networks, but existing search algorithms, e.g., NASNet, PNAS, usually suffer from expensive com…