This research identifies promising new optimizers for deep learning models.
― 6 min read
Computer Science - Neural and Evolutionary Computing
RSSThis study assesses surrogate models for efficiency and accuracy in optimization tasks.
― 6 min read
Explore how basic rules can guide agents through mazes with minimal information.
― 7 min read
This research highlights the role of crossover and diversity in evolutionary algorithms.
― 8 min read
A new method combines algorithms to tackle multi-objective optimization challenges.
― 5 min read
Research enhances decision-making efficiency and accuracy in spiking neural networks.
― 6 min read
A new framework enhances model performance using synaptic delays in neuromorphic systems.
― 7 min read
A new approach enhances efficiency in solving complex overlapping issues.
― 6 min read
This study highlights the role of diversity in evolutionary algorithms for matching problems.
― 8 min read
Explore the benefits and challenges of multi-objective optimization using NSGA-III.
― 5 min read
This article examines how diversity influences genetic algorithm efficiency, especially in the LeadingOnes problem.
― 6 min read
A new method aims to reduce bias in machine learning for evolving data streams.
― 7 min read
Examining the effectiveness of self-adjusting algorithms for optimization problems.
― 5 min read
Explore the connection between thermodynamics and machine learning to simplify complex systems.
― 5 min read
A novel approach using genetic programming to enhance loss functions for image classification.
― 5 min read
A method for creating adaptable controllers for different robot designs.
― 6 min read
This article explores multi-objective optimization and the MOEA/D approach.
― 6 min read
A new model explaining how memory can be organized and retrieved.
― 6 min read
NeuraChip improves efficiency in processing graph data for various applications.
― 5 min read
A new method improves efficiency in handling complex optimization challenges.
― 5 min read
In-context QD leverages past successes to create diverse solutions.
― 7 min read
FROND utilizes fractional calculus to enhance Graph Neural Networks for complex data.
― 5 min read
Learn how a new approach detects shifts in data streams effectively.
― 7 min read
Research reveals new methods enhancing Spiking Neural Network performance.
― 6 min read
Combining Large Language Models with data to discover scientific equations effectively.
― 6 min read
DelGrad enhances learning in Spiking Neural Networks by focusing on spike timing.
― 4 min read
A new method enhances accuracy in price prediction by refining feature selection.
― 5 min read
New methods enhance visual scene analysis using efficient coding techniques.
― 5 min read
A new approach to enhance deep learning models against adversarial attacks.
― 6 min read
A new system predicts actions of pedestrians and drivers, enhancing road safety.
― 6 min read
Exploring how neuromorphic computing is transforming visual data processing.
― 5 min read
New methods leverage vector symbolic architectures for efficient neural network programming.
― 7 min read
Study highlights the significance of temporal parameters in neural network performance.
― 5 min read
A look into multi-objective optimization using evolutionary algorithms.
― 6 min read
A novel framework improving predictions using cognitive principles and precision weighting.
― 6 min read
Exploring specialized neurons designed for specific tasks in artificial networks.
― 6 min read
An overview of training methods for spiking neural networks and their implications.
― 7 min read
Modern Hopfield models enhance machine memory and retrieval capabilities.
― 5 min read
Explore how drift analysis improves the efficiency of AI algorithms.
― 5 min read
A new framework improves optimization in machine learning using behavior information.
― 6 min read