Jeff Clune
Affiliations:- University of Wyoming
According to our database1,
Jeff Clune
authored at least 107 papers
between 2005 and 2024.
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Bibliography
2024
2023
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multiobjective Evolutionary Algorithm.
Evol. Comput., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft.
CoRR, 2021
2020
CoRR, 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods.
CoRR, 2020
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Artif. Life, 2020
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity.
Proceedings of the 2020 Conference on Artificial Life, 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.
Proceedings of the 37th International Conference on Machine Learning, 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Proceedings of the Explainable AI: Interpreting, 2019
A deep active learning system for species identification and counting in camera trap images.
CoRR, 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence.
CoRR, 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.
CoRR, 2019
Commonsense and Semantic-Guided Navigation through Language in Embodied Environment.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning.
Proc. Natl. Acad. Sci. USA, 2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
CoRR, 2018
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm.
CoRR, 2018
Deep Curiosity Search: Intra-Life Exploration Improves Performance on Challenging Deep Reinforcement Learning Problems.
CoRR, 2018
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System.
Artif. Life, 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 Conference on Artificial Life, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation.
PLoS Comput. Biol., 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning.
CoRR, 2017
On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent.
CoRR, 2017
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks.
CoRR, 2017
CoRR, 2017
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning.
Evol. Comput., 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks.
CoRR, 2016
Proceedings of the 4th International Conference on Learning Representations, 2016
Artif. Life, 2016
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Seventh International Conference on Computational Creativity, 2016
Identifying Core Functional Networks and Functional Modules within Artificial Neural Networks via Subsets Regression.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks?
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
2015
Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills.
PLoS Comput. Biol., 2015
A method to improve signal quality in wireless ad-hoc networks with limited mobility.
Proceedings of the International Conference on Computing, Networking and Communications, 2015
Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
IEEE Intell. Syst., 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Encouraging creative thinking in robots improves their ability to solve challenging problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Automated generation of environments to test the general learning capabilities of AI agents.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014
Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014
2013
Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Evolving Gaits for Physical Robots with the HyperNEAT Generative Encoding: The Benefits of Simulation.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
Upload any object and evolve it: Injecting complex geometric patterns into CPPNS for further evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013
2012
Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012
2011
IEEE Trans. Evol. Comput., 2011
Generating gaits for physical quadruped robots: evolved neural networks vs. local parameterized search.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Evolving robot gaits in hardware: the HyperNEAT generative encoding vs. parameter optimization.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
Evolving three-dimensional objects with a generative encoding inspired by developmental biology.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
Selective pressures for accurate altruism targeting: evidence from digital evolution for difficult-to-test aspects of inclusive fitness theory.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009
HybrID: A Hybridization of Indirect and Direct Encodings for Evolutionary Computation.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Natural Selection Fails to Optimize Mutation Rates for Long-Term Adaptation on Rugged Fitness Landscapes.
PLoS Comput. Biol., 2008
Proceedings of the Parallel Problem Solving from Nature, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
2007
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007
2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005