most citedDynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

A Mean Field Ansatz for Zero-Shot Weight Transfer

Xingyuan Chen, Wenwei Kuang, Lei Deng +3

The pre-training cost of large language models (LLMs) is prohibitive. One cutting-edge approach to reduce the cost is zero-shot weight transfer, also known as model growth for some…

physics.soc-ph2024

Impact of Topography and Climate on Post-fire Vegetation Recovery Across Different Burn Severity and Land Cover Types through Machine Learning

Faria Tuz Zahura, Gautam Bisht, Zhi Li +2

Wildfire significantly disturb ecosystems by altering forest structure, vegetation ecophysiology, and soil properties. Understanding the complex interactions between topographic an…

cs.CV2024

SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles

Weihao Yan, Yeqiang Qian, Xingyuan Chen +3

Semantic segmentation plays a critical role in enabling intelligent vehicles to comprehend their surrounding environments. However, deep learning-based methods usually perform poor…

math.NA2023

An iterative method for Helmholtz boundary value problems arising in wave propagation

Francisco Bernal, Xingyuan Chen, Goncalo dos Reis

The complex Helmholtz equation (where ) is a mainstay of computational wave simulation. Despite its apparent simplici…

cs.LG20232 cited

Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness

Ruoxi Qin, Linyuan Wang, Xuehui Du +2

The deep neural network has attained significant efficiency in image recognition. However, it has vulnerable recognition robustness under extensive data uncertainty in practical ap…