Search Results for author:
Found 5 papers, 2 papers with code
Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets
Subset selection is a popular topic in recent years and a number of subset selection methods have been proposed.
Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms
In other studies, it is shown that the objective space discretization improves the performance on combinatorial multi-objective problems.
A Closer Look at Few-shot Classification
Few-shot classification aims to learn a classifier to recognize unseen classes during training with limited labeled examples.
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
Despite the recent success of deep-learning based semantic segmentation, deploying a pre-trained road scene segmenter to a city whose images are not presented in the training set would not achieve satisfactory performance due to dataset biases.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
