🏛️ The Neural & Evolutionary Crypt

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Attention with Intention for a Neural Network Conversation Model

Kaisheng Yao, Geoffrey Zweig, Baolin Peng

cs.NE 🏛 arXiv 📚 116 cites 10 years ago

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Quality-Diversity Optimization: a novel branch of stochastic optimization

Konstantinos Chatzilygeroudis, Antoine Cully, ... (+2 more)

cs.NE 🏛 Black Box Optimization, Machine Learning, and No-Free Lunch Theorems 📚 115 cites 5 years ago

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Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search

Xiangxiang Chu, Bo Zhang, ... (+2 more)

cs.NE 🏛 ECCV W 📚 115 cites 7 years ago

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Overcoming the vanishing gradient problem in plain recurrent networks

Yuhuang Hu, Adrian Huber, ... (+2 more)

cs.NE 🏛 arXiv 📚 114 cites 8 years ago

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Nonlinear Systems Identification Using Deep Dynamic Neural Networks

Olalekan Ogunmolu, Xuejun Gu, ... (+2 more)

cs.NE 🏛 arXiv 📚 114 cites 9 years ago

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Multimodal Multi-objective Optimization: Comparative Study of the State-of-the-Art

Wenhua Li, Tao Zhang, ... (+2 more)

cs.NE 🏛 Swarm and Evolutionary Computation 📚 114 cites 3 years ago

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DENSER: Deep Evolutionary Network Structured Representation

Filipe Assunção, Nuno Lourenço, ... (+2 more)

cs.NE 🏛 Genetic Programming and Evolvable Machines 📚 113 cites 8 years ago

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Neural Architecture Search for Spiking Neural Networks

Youngeun Kim, Yuhang Li, ... (+3 more)

cs.NE 🏛 ECCV 📚 113 cites 4 years ago

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Hybrid Ant Colony Optimization in solving Multi-Skill Resource-Constrained Project Scheduling Problem

Paweł B. Myszkowski, Marek E. Skowroński, ... (+2 more)

cs.NE 🏛 Soft Computing - A Fusion of Foundations, Methodologies and Applications 📚 112 cites 10 years ago

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Evaluation and Efficiency Comparison of Evolutionary Algorithms for Service Placement Optimization in Fog Architectures

Carlos Guerrero, Isaac Lera, Carlos Juiz

cs.NE 🏛 FGCS 📚 111 cites 1 year ago

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Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks

Róbert Csordás, Sjoerd van Steenkiste, Jürgen Schmidhuber

cs.NE 🏛 ICLR 📚 111 cites 5 years ago

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Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control

Guangzhi Tang, Neelesh Kumar, ... (+2 more)

cs.NE 🏛 CoRL 📚 110 cites 5 years ago

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Parameters Optimization of Deep Learning Models using Particle Swarm Optimization

Basheer Qolomany, Majdi Maabreh, ... (+3 more)

cs.NE 🏛 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC) 📚 110 cites 8 years ago

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Unsupervised Regenerative Learning of Hierarchical Features in Spiking Deep Networks for Object Recognition

Priyadarshini Panda, Kaushik Roy

cs.NE 🏛 IJCNN 📚 110 cites 10 years ago

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Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks

Tobias Hinz, Nicolás Navarro-Guerrero, ... (+2 more)

cs.NE 🏛 International Journal of Computational Intelligence and Applications 📚 109 cites 7 years ago

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Robustness to Adversarial Examples through an Ensemble of Specialists

Mahdieh Abbasi, Christian Gagné

cs.NE 🏛 ICLR 📚 109 cites 9 years ago

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COCO: Performance Assessment

Nikolaus Hansen, Anne Auger, ... (+3 more)

cs.NE 🏛 arXiv 📚 109 cites 9 years ago

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A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction

Jordan J. Bird, Diego R. Faria, ... (+3 more)

cs.NE 🏛 Complex 📚 108 cites 6 years ago

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Optimal Parameter Choices via Precise Black-Box Analysis

Benjamin Doerr, Carola Doerr, Jing Yang

cs.NE 🏛 GECCO 📚 108 cites 7 years ago

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How to Read Many-Objective Solution Sets in Parallel Coordinates

Miqing Li, Liangli Zhen, Xin Yao

cs.NE 🏛 IEEE Computational Intelligence Magazine 📚 108 cites 9 years ago

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Rational neural networks

Nicolas Boullé, Yuji Nakatsukasa, Alex Townsend

cs.NE 🏛 NeurIPS 📚 107 cites 6 years ago

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Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks

Seongsik Park, Seijoon Kim, ... (+2 more)

cs.NE 🏛 DAC 📚 107 cites 7 years ago

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Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks

Nima Mohajerin, Steven L. Waslander

cs.NE 🏛 IEEE TNNLS 📚 107 cites 7 years ago

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A theory of sequence indexing and working memory in recurrent neural networks

E. Paxon Frady, Denis Kleyko, Friedrich T. Sommer

cs.NE 🏛 Neural Comp. 📚 107 cites 8 years ago