🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
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Total Papers
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Reinforcement Learning in a large scale photonic Recurrent Neural Network
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An Easy-to-use Real-world Multi-objective Optimization Problem Suite
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Quality and Diversity Optimization: A Unifying Modular Framework
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Learning to Transduce with Unbounded Memory
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Adversarial Transformation Networks: Learning to Generate Adversarial Examples
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Deep Rewiring: Training very sparse deep networks
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An Improved Discrete Bat Algorithm for Symmetric and Asymmetric Traveling Salesman Problems
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Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
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The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
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Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
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On the Binding Problem in Artificial Neural Networks
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Highway Long Short-Term Memory RNNs for Distant Speech Recognition
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The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
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Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
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Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
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Echo state networks are universal
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Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
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Ablation Studies in Artificial Neural Networks
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Neuromorphic Deep Learning Machines
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Memory-Efficient Backpropagation Through Time
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Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
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Spiking Neural Networks and Online Learning: An Overview and Perspectives
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