research
∙
08/13/2023
A Parallel Ensemble of Metaheuristic Solvers for the Traveling Salesman Problem
The travelling salesman problem (TSP) is one of the well-studied NP-hard...
share
research
∙
03/28/2023
Randomly Initialized Subnetworks with Iterative Weight Recycling
The Multi-Prize Lottery Ticket Hypothesis posits that randomly initializ...
research
∙
02/12/2023
Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution
Neuroevolution is a promising area of research that combines evolutionar...
research
∙
02/12/2023
Interpretable Diversity Analysis: Visualizing Feature Representations In Low-Cost Ensembles
Diversity is an important consideration in the construction of robust ne...
research
∙
02/11/2023
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life
Rectified Linear Units (ReLU) are the default choice for activation func...
research
∙
02/23/2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks
Ensemble Learning is an effective method for improving generalization in...
research
∙
01/27/2016
Efficient Hill-Climber for Multi-Objective Pseudo-Boolean Optimization
Local search algorithms and iterated local search algorithms are a basic...
research
∙
05/07/2015
Optimal Neuron Selection: NK Echo State Networks for Reinforcement Learning
This paper introduces the NK Echo State Network. The problem of learning...
research
∙
12/19/2011