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🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
6322
Total Papers
5604
No Code
153
Twilight
565
Has Code
8.9%
Survival Rate
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Dreaming neural networks: forgetting spurious memories and reinforcing pure ones
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Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex
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A General Dichotomy of Evolutionary Algorithms on Monotone Functions
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Investigation Into The Effectiveness Of Long Short Term Memory Networks For Stock Price Prediction
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Variable Binding for Sparse Distributed Representations: Theory and Applications
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IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics
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Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points
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Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes
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Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites
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Discrete Event, Continuous Time RNNs
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Very Efficient Training of Convolutional Neural Networks using Fast Fourier Transform and Overlap-and-Add
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Higher Order Recurrent Neural Networks
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SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks
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A Hybrid Genetic Algorithm for the min-max Multiple Traveling Salesman Problem
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Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes
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Spatial Evolutionary Generative Adversarial Networks
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Balanced Crossover Operators in Genetic Algorithms
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Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
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A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification
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Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions
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Evolving the Structure of Evolution Strategies
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FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks with Efficient DSP and Memory Optimization
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