3 citations · 6 across the 6 of their papers we have counts for
6 papers
A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search
Zeqiong Lv, Chao Qian, Yanan Sun
Evolutionary neural architecture search (ENAS) employs evolutionary algorithms to find high-performing neural architectures automatically, and has achieved great success. However,…
UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks
Yanan Sun, Zihan Zhong, Qi Fan +2
Large-scale joint training of multimodal models, e.g., CLIP, have demonstrated great performance in many vision-language tasks. However, image-text pairs for pre-training are restr…
Differentiable Genetic Programming for High-dimensional Symbolic Regression
Peng Zeng, Xiaotian Song, Andrew Lensen +4
Symbolic regression (SR) is the process of discovering hidden relationships from data with mathematical expressions, which is considered an effective way to reach interpretable mac…
Neural Architecture Search Using Genetic Algorithm for Facial Expression Recognition
Shuchao Deng, Yanan Sun, Edgar Galvan
Facial expression is one of the most powerful, natural, and universal signals for human beings to express emotional states and intentions. Thus, it is evident the importance of cor…
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence
Yuhao Zhou, Mingjia Shi, Yuanxi Li +3
Reducing communication overhead in federated learning (FL) is challenging but crucial for large-scale distributed privacy-preserving machine learning. While methods utilizing spars…
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism
Xiangning Xie, Yuqiao Liu, Yanan Sun +2
Neural Architecture Search (NAS) can automatically design architectures for deep neural networks (DNNs) and has become one of the hottest research topics in the current machine lea…