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🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
6281
Total Papers
5747
No Code
69
Twilight
465
Has Code
7.4%
Survival Rate
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T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding
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Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
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Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
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Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
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ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales
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Training Spiking Deep Networks for Neuromorphic Hardware
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A Discrete Firefly Algorithm to Solve a Rich Vehicle Routing Problem Modelling a Newspaper Distribution System with Recycling Policy
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Procedural Content Generation through Quality Diversity
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MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems
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Inductive Bias of Deep Convolutional Networks through Pooling Geometry
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Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization
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Benchmarking in Optimization: Best Practice and Open Issues
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Why should we add early exits to neural networks?
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MorphIC: A 65-nm 738k-Synapse/mm$^2$ Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
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Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations
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GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
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Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
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Guiding High-Performance SAT Solvers with Unsat-Core Predictions
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Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration
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A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification
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Recurrent Orthogonal Networks and Long-Memory Tasks
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Deep Learning with Dynamic Computation Graphs
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