Evolving plastic neural networks for online learning: review and future directions
Coleman, O. J. and Blair, A. D · 2012
Later among the works it cites.
The restless engram: consolidations never end
Dudai, Y · 2012
Later among the works it cites.
Nurturing promotes the evolution of learning in uncertain environments
Eskridge, B. E. and Hougen, D. F · 2012
Later among the works it cites.
Selectionist and evolutionary approaches to brain function: a critical appraisal
Fernando, C., Szathmáry, E., and Husbands, P · 2012
Later among the works it cites.
The role of metaplasticity mechanisms in regulating memory destabilization and reconsolidation
Finnie, P. S. and Nader, K · 2012
Later among the works it cites.
Studies of mind and brain: Neural principles of learning, perception, development, cognition, and motor control , volume 70
Grossberg, S · 2012
Later among the works it cites.
Evolution of plastic learning in spiking networks via memristive connections
Howard, G., Gale, E., Bull, L., de Lacy Costello, B., and Adamatzky, A · 2012
Later among the works it cites.
Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E · 2012
Later among the works it cites.
A unified approach to evolving plasticity and neural geometry
Risi, S. and Stanley, K. O · 2012
Later among the works it cites.
Continuous adaptation of robot behaviour through online evolution and neuromodulated learning
Silva, F., Urbano, P., and Christensen, A. L · 2012
Later among the works it cites.
From Modulated Hebbian Plasticity to Simple Behavior Learning through Noise and Weight Saturation
Soltoggio, A. and Stanley, K. O · 2012
Later among the works it cites.
Learning to learn
Thrun, S. and Pratt, L · 2012
Later among the works it cites.
The architecture of cognition
Anderson, J. R · 2013
Later among the works it cites.
Evolution of social representation in neural networks
Arnold, S., Suzuki, R., and Arita, T · 2013
Later among the works it cites.
Selection for reinforcement-free learning ability as an organizing factor in the evolution of cognition
Arnold, S., Suzuki, R., and Arita, T · 2013
Later among the works it cites.
Representation learning: A review and new perspectives
Bengio, Y., Courville, A., and Vincent, P · 2013
Later among the works it cites.
New types of deep neural network learning for speech recognition and related applications: An overview
Deng, L., Hinton, G., and Kingsbury, B · 2013
Later among the works it cites.
Different regulation mechanisms for evolved critical periods in learning
Ellefsen, K. O · 2013
Later among the works it cites.
Evolved sensitive periods in learning
Ellefsen, K. O · 2013
Later among the works it cites.
Robot coverage control by evolved neuromodulation
Harrington, K. I., Awa, E., Cussat-Blanc, S., and Pollack, J · 2013
Later among the works it cites.
Evolvability is inevitable: increasing evolvability without the pressure to adapt
Lehman, J. and Stanley, K. O · 2013
Later among the works it cites.
Machine learning: An artificial intelligence approach
Michalski, R. S., Carbonell, J. G., and Mitchell, T. M · 2013
Later among the works it cites.
Evolving plastic neuromodulated networks for behavior emergence of autonomous virtual characters
Nogueira, B., Lenon, Y., Eduardo, C., Vidal, C. A., and Cavalcante Neto, J. B · 2013
Later among the works it cites.
Artificial intelligence: a modern approach
Russell, S. and Norvig, P · 2013
Later among the works it cites.
On the relationships between generative encodings, regularity, and learning abilities when evolving plastic artificial neural networks
Tonelli, P. and Mouret, J.-B · 2013
Later among the works it cites.
Introduction to machine learning
Alpaydin, E · 2014
Later among the works it cites.
The super-Turing computational power of plastic recurrent neural networks
Cabessa, J. and Siegelmann, H. T · 2014
Later among the works it cites.
An efficient automated parameter tuning framework for spiking neural networks
Carlson, K. D., Nageswaran, J. M., Dutt, N., and Krichmar, J. L · 2014
Later among the works it cites.
The Evolution of Learning Under Environmental Variability
Ellefsen, K. O · 2014
Later among the works it cites.
Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y · 2014
Later among the works it cites.
Neural Turing machines
Original
Graves, A., Wayne, G., and Danihelka, I · 2014
Later among the works it cites.
Chimpanzee intelligence is heritable
Hopkins, W. D., Russell, J. L., and Schaeffer, J · 2014
Later among the works it cites.
Evolving spiking networks with variable resistive memories
Howard, G., Bull, L., de Lacy Costello, B., Gale, E., and Adamatzky, A · 2014
Later among the works it cites.
In search of intelligence: evolving a developmental neuron capable of learning
Khan, G. M. and Miller, J. F · 2014
Later among the works it cites.
Evolving deep unsupervised convolutional networks for vision-based reinforcement learning
Koutník, J., Schmidhuber, J., and Gomez, F · 2014
Later among the works it cites.
Overcoming Deception in Evolution of Cognitive Behaviors
Lehman, J. and Miikkulainen, R · 2014
Later among the works it cites.
Neuro-Centric and Holocentric Approaches to the Evolution of Developmental Neural Networks
Miller, J. F · 2014
Later among the works it cites.
Neuromorphic computing gets ready for the (really) big time
Monroe, D · 2014
Later among the works it cites.
Artificial evolution of plastic neural networks: a few key concepts
Mouret, J.-B. and Tonelli, P · 2014
Later among the works it cites.
Learning and transferring mid-level image representations using convolutional neural networks
Oquab, M., Bottou, L., Laptev, I., and Sivic, J · 2014
Later among the works it cites.
Pavlovian Second-Order Conditioning (Psychology Revivals): Studies in Associative Learning
Rescorla, R. A · 2014
Later among the works it cites.
Guided Self-Organization in Indirectly Encoded and Evolving Topographic Maps
Risi, S. and Stanley, K. O · 2014
Later among the works it cites.
Can simple rules control development of a pioneer vertebrate neuronal network generating behavior?
Roberts, A., Conte, D., Hull, M., Merrison-Hort, R., al Azad, A. K., Buhl, E., Borisyuk, R., and Soffe, S. R · 2014
Later among the works it cites.
Humanized Foxp2 accelerates learning by enhancing transitions from declarative to procedural performance
Schreiweis, C., Bornschein, U., Burguière, E., Kerimoglu, C., Schreiter, S., Dannemann, M., Goyal, S., Rea, E., French, C. A., Puliyadi, R., et al · 2014
Later among the works it cites.
Evaluating Topological Models of Neuromodulation in Polyworld
Yoder, J. and Yaeger, L · 2014
Later among the works it cites.
Learning classifier systems
Butz, M. V · 2015
Later among the works it cites.
Neuronal boost to evolutionary dynamics
de Vladar, H. P. and Szathmáry, E · 2015
Later among the works it cites.
Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems
Downing, K. L · 2015
Later among the works it cites.
From evolutionary computation to the evolution of things
Eiben, A. E. and Smith, J · 2015
Later among the works it cites.
Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills
Ellefsen, K. O., Mouret, J.-B., and Clune, J · 2015
Later among the works it cites.
LSTM: A search space odyssey
Original
Greff, K., Srivastava, R. K., Koutník, J., Steunebrink, B. R., and Schmidhuber, J · 2015
Later among the works it cites.
Human-level concept learning through probabilistic program induction
Lake, B. M., Salakhutdinov, R., and Tenenbaum, J. B · 2015
Later among the works it cites.
Deep learning
LeCun, Y., Bengio, Y., and Hinton, G · 2015
Later among the works it cites.
A Hebbian/anti-Hebbian neural network for linear subspace learning: A derivation from multidimensional scaling of streaming data
Pehlevan, C., Hu, T., and Chklovskii, D. B · 2015
Later among the works it cites.
Deep learning in neural networks: An overview
Schmidhuber, J · 2015
Later among the works it cites.
Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy
Schroll, H. and Hamker, F. H · 2015
Later among the works it cites.
Short-term plasticity as cause-effect hypothesis testing in distal reward learing
Soltoggio, A · 2015
Later among the works it cites.
Why Greatness Cannot Be Planned
Stanley, K. O. and Lehman, J · 2015
Later among the works it cites.
Optimizing deep learning hyper-parameters through an evolutionary algorithm
Young, S. R., Rose, D. C., Karnowski, T. P., Lim, S.-H., and Patton, R. M · 2015
Later among the works it cites.
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Original
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., et al · 2016
Later among the works it cites.
How the mind comes into being: Introducing cognitive science from a functional and computational perspective
Butz, M. V. and Kutter, E. F · 2016
Later among the works it cites.
Six areas that artificial emotional intelligence will revolutionise
De Botton, A · 2016
Later among the works it cites.
Convolution by Evolution: Differentiable Pattern Producing Networks
Original
Fernando, C., Banarse, D., Reynolds, M., Besse, F., Pfau, D., Jaderberg, M., Lanctot, M., and Wierstra, D · 2016
Later among the works it cites.
Hybrid computing using a neural network with dynamic external memory
Graves, A., Wayne, G., Reynolds, M., Harley, T., Danihelka, I., Grabska-Barwińska, A., Colmenarejo, S. G., Grefenstette, E., Ramalho, T., Agapiou, J., et al · 2016
Later among the works it cites.
Evolving Neural Turing Machines for Reward-based Learning
Greve, R. B., Jacobsen, E. J., and Risi, S · 2016
Later among the works it cites.
Evolving neuromodulatory topologies for plasticity in video game playing
Gustafsson, J · 2016
Later among the works it cites.
What learning systems do intelligent agents need? complementary learning systems theory updated
Kumaran, D., Hassabis, D., and McClelland, J. L · 2016
Later among the works it cites.
The Evolutionary Origins of Phenotypic Plasticity
Lalejini, A. and Ofria, C · 2016
Later among the works it cites.
CMA-ES for Hyperparameter Optimization of Deep Neural Networks
Original
Loshchilov, I. and Hutter, F · 2016
Later among the works it cites.
Continual Learning through Evolvable Neural Turing Machines
Lüders, B., Schläger, M., and Risi, S · 2016
Later among the works it cites.
Artificial intelligence for games
Millington, I. and Funge, J · 2016
Later among the works it cites.
Emergent vision system of autonomous virtual characters
Nogueira, Y. L. B., de Brito, C. E. F., Vidal, C. A., and Neto, J. B. C · 2016
Later among the works it cites.
Neuromodulation Improves the Evolution of Forward Models
Norouzzadeh, M. S. and Clune, J · 2016
Later among the works it cites.
The evolution of a generalized neural learning rule
Orchard, J. and Wang, L · 2016
Later among the works it cites.
Evolving Deep LSTM-based Memory Networks Using an Information Maximization Objective
Rawal, A. and Miikkulainen, R · 2016
Later among the works it cites.
Progressive Neural Networks
Original
Rusu, A. A., Rabinowitz, N. C., Desjardins, G., Soyer, H., Kirkpatrick, J., Kavukcuoglu, K., Pascanu, R., and Hadsell, R · 2016
Later among the works it cites.
Mastering the game of Go with deep neural networks and tree search
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al · 2016
Later among the works it cites.
Open-ended evolution: perspectives from the OEE workshop in York
Taylor, T., Bedau, M., Channon, A., Ackley, D., Banzhaf, W., Beslon, G., Dolson, E., Froese, T., Hickinbotham, S., Ikegami, T., et al · 2016
Later among the works it cites.
Building Efficient Deep Hebbian Networks for Image Classification Tasks
Bahroun, Y., Hunsicker, E., and Soltoggio, A · 2017
Closest in time.
Imitative and Direct Learning as Interacting Factors in Life History Evolution
Bullinaria, J. A · 2017
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DARPA, Lifelong Learning Machines
DARPA-L2M · 2017
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Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing
Original
Desell, T · 2017
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EDEN: Evolutionary Deep Networks for Efficient Machine Learning
Original
Dufourq, E. and Bassett, B. A · 2017
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PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Original
Fernando, C., Banarse, D., Blundell, C., Zwols, Y., Ha, D., Rusu, A. A., Pritzel, A., and Wierstra, D · 2017
Closest in time.
Computational models of long term plasticity and memory
Original
Fusi, S · 2017
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The General Video game AI Competition
GVGAI · 2017
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Overcoming catastrophic forgetting in neural networks
Kirkpatrick, J., Pascanu, R., Rabinowitz, N., Veness, J., Desjardins, G., Rusu, A. A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., Hassabis, D., Clopath, C., Kumaran, D., and Hadsell, R · 2017
Closest in time.
Neurogenesis and Brain Repair
Kiyota, T · 2017
Closest in time.
Hierarchical representations for efficient architecture search
Original
Liu, H., Simonyan, K., Vinyals, O., Fernando, C., and Kavukcuoglu, K · 2017
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Continual and One-Shot Learning through Neural Networks with Dynamic External Memory
Lüders, B., Schläger, M., Korach, A., and Risi, S · 2017
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Project malmo
Microsoft · 2017
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Evolving Deep Neural Networks
Original
Miikkulainen, R., Liang, J., Meyerson, E., Rawal, A., Fink, D., Francon, O., Raju, B., Navruzyan, A., Duffy, N., and Hodjat, B · 2017
Closest in time.
OpenAI Universe
OpenAI · 2017
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Large-Scale Evolution of Image Classifiers
Real, E., Moore, S., Selle, A., Saxena, S., Suematsu, Y. L., Le, Q., and Kurakin, A · 2017
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Open-endedness: The last grand challenge you’ve never heard of
Stanley, K. O., Lehman, J., and Soros, L · 2017
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The embodied mind: Cognitive science and human experience
Varela, F. J., Thompson, E., and Rosch, E · 2017
Closest in time.
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks
Original
Velez, R. and Clune, J · 2017
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Differentiable plasticity: training plastic neural networks with backpropagation
Original
Miconi, T., Clune, J., and Stanley, K. O · 2018
Closest in time.
Continual lifelong learning with neural networks: A review
Original
Parisi, G. I., Kemker, R., Part, J. L., Kanan, C., and Wermter, S · 2018
Closest in time.