242 citations · 388 across the 13 of their papers we have counts for
5 papers · 1 filter
Multi-objective Neural Architecture Search with Almost No Training
Shengran Hu, Ran Cheng, Cheng He +1
In the recent past, neural architecture search (NAS) has attracted increasing attention from both academia and industries. Despite the steady stream of impressive empirical results…
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Hao Tan, Ran Cheng, Shihua Huang +4
Despite the remarkable successes of Convolutional Neural Networks (CNNs) in computer vision, it is time-consuming and error-prone to manually design a CNN. Among various Neural Arc…
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction
Yan Xiao, Yaochu Jin, Ran Cheng +1
With an exponential explosive growth of various digital text information, it is challenging to efficiently obtain specific knowledge from massive unstructured text information. As…
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
Haoyu Zhang, Yaochu Jin, Ran Cheng +1
The performance of a deep neural network is heavily dependent on its architecture and various neural architecture search strategies have been developed for automated network archit…
Ternary Compression for Communication-Efficient Federated Learning
Jinjin Xu, Wenli Du, Ran Cheng +2
Learning over massive data stored in different locations is essential in many real-world applications. However, sharing data is full of challenges due to the increasing demands of…