5 papers
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
Rongguang Ye, Longcan Chen, Wei-Bin Kou +2
Pareto set learning (PSL) is an emerging approach for acquiring the complete Pareto set of a multi-objective optimization problem. Existing methods primarily rely on the mapping of…
Data-Driven Preference Sampling for Pareto Front Learning
Rongguang Ye, Lei Chen, Weiduo Liao +2
Pareto front learning is a technique that introduces preference vectors in a neural network to approximate the Pareto front. Previous Pareto front learning methods have demonstrate…
A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registration
Jing Hao, Jingming Xie, Jinyuan Zhang +1
Fisheye lens, which is suitable for panoramic imaging, has the prominent advantage of a large field of view and low cost. However, the fisheye image has a severe geometric distorti…
Detecting Adversarial Faces Using Only Real Face Self-Perturbations
Qian Wang, Yongqin Xian, Hefei Ling +5
Adversarial attacks aim to disturb the functionality of a target system by adding specific noise to the input samples, bringing potential threats to security and robustness when ap…
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding
Lan Tang, Xiaxi Li, Jinyuan Zhang +3
Evolutionary Reinforcement Learning (ERL) that applying Evolutionary Algorithms (EAs) to optimize the weight parameters of Deep Neural Network (DNN) based policies has been widely…