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🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
6370
Total Papers
5604
No Code
153
Twilight
613
Has Code
9.6%
Survival Rate
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Similarity-based context aware continual learning for spiking neural networks
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A Genetic Algorithm for Multi-Capacity Fixed-Charge Flow Network Design
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Spatial-Temporal Search for Spiking Neural Networks
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An Improved Chicken Swarm Optimization Algorithm for Handwritten Document Image Enhancement
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Modeling the Human Visual System: Comparative Insights from Response-Optimized and Task-Optimized Vision Models, Language Models, and different Readout Mechanisms
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A Lattice-based Method for Optimization in Continuous Spaces with Genetic Algorithms
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Neuromorphic Programming: Emerging Directions for Brain-Inspired Hardware
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The Trap of Presumed Equivalence: Artificial General Intelligence Should Not Be Assessed on the Scale of Human Intelligence
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Optimization of Complex Process, Based on Design Of Experiments, a Generic Methodology
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Multiple Global Peaks Big Bang-Big Crunch Algorithm for Multimodal Optimization
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MC-QDSNN: Quantized Deep evolutionary SNN with Multi-Dendritic Compartment Neurons for Stress Detection using Physiological Signals
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Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming
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Adaptive Knowledge-based Multi-Objective Evolutionary Algorithm for Hybrid Flow Shop Scheduling Problems with Multiple Parallel Batch Processing Stages
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Relating Superconducting Optoelectronic Networks to Classical Neurodynamics
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Metaheuristic Method for Solving Systems of Equations
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An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise
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Bio-Inspired Mamba: Temporal Locality and Bioplausible Learning in Selective State Space Models
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Contrastive Learning in Memristor-based Neuromorphic Systems
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ORS: A novel Olive Ridley Survival inspired Meta-heuristic Optimization Algorithm
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An Efficient General-Purpose Optical Accelerator for Neural Networks
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Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
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Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso
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