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Found 8 papers, 3 papers with code
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image Analysis
An unresolved issue in contemporary biomedicine is the overwhelming number and diversity of complex images that require annotation, analysis and interpretation.
When, where, and how to add new neurons to ANNs
Neurogenesis in ANNs is an understudied and difficult problem, even compared to other forms of structural learning like pruning.
DARTS-PRIME: Regularization and Scheduling Improve Constrained Optimization in Differentiable NAS
Differentiable Architecture Search (DARTS) is a recent neural architecture search (NAS) method based on a differentiable relaxation.
Ranked #10 on
Neural Architecture Search
on CIFAR-100
Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection
The class distribution of data is one of the factors that regulates the performance of machine learning models.
Neuromodulated Learning in Deep Neural Networks
In the brain, learning signals change over time and synaptic location, and are applied based on the learning history at the synapse, in the complex process of neuromodulation.
Positional Cartesian Genetic Programming
In this work, we present a new form of genetic programming based on a floating point representation.
Evolving Differentiable Gene Regulatory Networks
Over the past twenty years, artificial Gene Regulatory Networks (GRNs) have shown their capacity to solve real-world problems in various domains such as agent control, signal processing and artificial life experiments.
Evolving simple programs for playing Atari games
Cartesian Genetic Programming (CGP) has previously shown capabilities in image processing tasks by evolving programs with a function set specialized for computer vision.
Ranked #1 on
Atari Games
on Atari 2600 Defender
