16 citations · 25 across the 4 of their papers we have counts for
4 papers
Boosting-based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks
Yiping Tang, Kohei Hatano, Eiji Takimoto
Understanding the characteristics of neural networks is important but difficult due to their complex structures and behaviors. Some previous work proposes to transform neural netwo…
Self-supervised Representation Learning for Evolutionary Neural Architecture Search
Chen Wei, Yiping Tang, Chuang Niu +3
Recently proposed neural architecture search (NAS) algorithms adopt neural predictors to accelerate the architecture search. The capability of neural predictors to accurately predi…
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
Chen Wei, Chuang Niu, Yiping Tang +3
Neural architecture search (NAS) is a promising method for automatically design neural architectures. NAS adopts a search strategy to explore the predefined search space to find ou…
AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection
Yiping Tang, Chuang Niu, Minghao Dong +2
Temporal action detection is a fundamental yet challenging task in video understanding. Many of the state-of-the-art methods predict the boundaries of action instances based on pre…