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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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Applying Partial-ACO to Large-scale Vehicle Fleet Optimisation
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A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming
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On-line Search History-assisted Restart Strategy for Covariance Matrix Adaptation Evolution Strategy
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A Genetic Programming System with an Epigenetic Mechanism for Traffic Signal Control
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Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks
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Applying Nature-Inspired Optimization Algorithms for Selecting Important Timestamps to Reduce Time Series Dimensionality
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Hierarchical Genetic Algorithms with evolving objective functions
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Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
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Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning
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Neural Allocentric Intuitive Physics Prediction from Real Videos
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PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations
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Generalizable Meta-Heuristic based on Temporal Estimation of Rewards for Large Scale Blackbox Optimization
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Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems
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Evolutionary framework for two-stage stochastic resource allocation problems
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Shortening Time Required for Adaptive Structural Learning Method of Deep Belief Network with Multi-Modal Data Arrangement
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When and where do feed-forward neural networks learn localist representations?
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A Self-Replication Basis for Designing Complex Agents
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A Generation Method of Immunological Memory in Clonal Selection Algorithm by using Restricted Boltzmann Machines
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A Bi-population Particle Swarm Optimizer for Learning Automata based Slow Intelligent System
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Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence
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Empirical Explorations in Training Networks with Discrete Activations
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A Novel Framework for Recurrent Neural Networks with Enhancing Information Processing and Transmission between Units
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