🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
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Total Papers
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Online Training Through Time for Spiking Neural Networks
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Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation
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Event-Based Angular Velocity Regression with Spiking Networks
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Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm
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Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets
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Structured Pruning of Neural Networks with Budget-Aware Regularization
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ES Is More Than Just a Traditional Finite-Difference Approximator
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Scaling MAP-Elites to Deep Neuroevolution
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Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware
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Complex-valued Neural Networks with Non-parametric Activation Functions
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Average Convergence Rate of Evolutionary Algorithms
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Deep Reinforcement Learning Based Parameter Control in Differential Evolution
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RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition
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Improving performance of recurrent neural network with relu nonlinearity
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Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions
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Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning
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LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization
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A Survey on Activation Functions and their relation with Xavier and He Normal Initialization
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A Cooperative Framework for Fireworks Algorithm
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Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
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Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification
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DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks
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