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Found 6 papers, 2 papers with code
Data-Driven Preference Sampling for Pareto Front Learning
In this manner, the proposed method can sample preference vectors from the location of the Pareto front with a high probability.
Evolutionary Preference Sampling for Pareto Set Learning
Recently, Pareto Set Learning (PSL) has been proposed for learning the entire Pareto set using a neural network.
A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registration
However, the fisheye image has a severe geometric distortion which may interfere with the stage of image registration and stitching.
Detecting Adversarial Faces Using Only Real Face Self-Perturbations
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 applied to facial recognition systems.
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding
The training process is accelerated up to 7x on tested games, comparing to its counterpart without the surrogate and PE.
Preselection via Classification: A Case Study on Evolutionary Multiobjective Optimization
Finally it uses the classifier to filter the unpromising candidate offspring solutions and choose a promising one from the generated candidate offspring set for each parent solution.
