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🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
6343
Total Papers
5604
No Code
153
Twilight
586
Has Code
9.2%
Survival Rate
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Deep Convolutional Spiking Neural Networks for Image Classification
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An Adaptive Learning Method of Deep Belief Network by Layer Generation Algorithm
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Old Age
SupportNet: solving catastrophic forgetting in class incremental learning with support data
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Design and Analysis of Diversity-Based Parent Selection Schemes for Speeding Up Evolutionary Multi-objective Optimisation
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When Hypermutations and Ageing Enable Artificial Immune Systems to Outperform Evolutionary Algorithms
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Boosting Cooperative Coevolution for Large Scale Optimization with a Fine-Grained Computation Resource Allocation Strategy
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Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule
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Multi-Layer Competitive-Cooperative Framework for Performance Enhancement of Differential Evolution
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Learning in the Machine: the Symmetries of the Deep Learning Channel
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Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks
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Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems
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SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
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Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study
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Learning Long Sequences in Spiking Neural Networks
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On reaction network implementations of neural networks
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Extended Particle Swarm Optimization (EPSO) for Feature Selection of High Dimensional Biomedical Data
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A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP
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Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators
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FastONN -- Python based open-source GPU implementation for Operational Neural Networks
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COVID-19 forecasting based on an improved interior search algorithm and multi-layer feed forward neural network
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Data-driven Reconstruction of Nonlinear Dynamics from Sparse Observation
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Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks
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