Clune, Jeff

How transferable are features in deep neural networks?

Yosinski, J., Clune, J., Bengio, Y., & Lipson, H. (2014) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 6,061

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Nguyen, A., Yosinski, J., & Clune, J. (2014) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 3,258

Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Nguyen, A., Yosinski, J., & Clune, J. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 3,258

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

Norouzzadeh, M. S., Nguyen, A., Kosmala, M., Swanson, A., Palmer, M. S., Packer, C., & Clune, J. (2018) · Proceedings of the National Academy of Sciences

Advanced Neural Network ApplicationsWildlife Ecology and Conservation

Cited by 1,230

Robots that can adapt like animals

Cully, A., Clune, J., Tarapore, D., & Mouret, J.-B. (2015) · Nature

Reinforcement Learning in RoboticsModular Robots and Swarm Intelligence

Cited by 979

Machine learning to classify animal species in camera trap images: Applications in ecology

Tabak, M. A., Norouzzadeh, M. S., Wolfson, D. W., Sweeney, S. J., Vercauteren, K. C., Snow, N. P., Halseth, J. M., Di Salvo, P. A., Lewis, J. S., White, M. D., et al. (2019) · Methods in Ecology and Evolution

Wildlife Ecology and ConservationAdvanced Neural Network Applications

Cited by 504

Managing extreme AI risks amid rapid progress

Bengio, Y., Hinton, G., Yao, A., Song, D., Abbeel, P., Darrell, T., Harari, Y. N., Zhang, Y.-Q., Xue, L., Shalev-Shwartz, S., et al. (2024) · Science

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 349

Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Zhang, J., Hu, S., Lu, C., Lange, R., & Clune, J. (2025) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 344

First return, then explore

Ecoffet, A., Huizinga, J., Lehman, J., Stanley, K. O., & Clune, J. (2021) · Nature

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 330

Biological underpinnings for lifelong learning machines

Kudithipudi, D., Aguilar-Simon, M., Babb, J., Bazhenov, M., Blackiston, D., Bongard, J., Brna, A. P., Chakravarthi Raja, S., Cheney, N., Clune, J., et al. (2022) · Nature Machine Intelligence

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 236

Go-Explore: a New Approach for Hard-Exploration Problems

Ecoffet, A., Huizinga, J., Lehman, J., Stanley, K. O., & Clune, J. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 205

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

Lehman, J., Clune, J., Misevic, D., Adami, C., Altenberg, L., Beaulieu, J., Bentley, P. J., Bernard, S., Beslon, G., Bryson, D. M., et al. (2020) · Artificial Life

Evolutionary Algorithms and ApplicationsEvolution and Genetic Dynamics

Cited by 181

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Lu, C., Lu, C., Lange, R. T., Foerster, J., Clune, J., & Ha, D. (2024) · arXiv

Artificial Intelligence ApplicationsTopic Modeling

Cited by 118

Towards end-to-end automation of AI research

Lu, C., Lu, C., Lange, R. T., Yamada, Y., Hu, S., Foerster, J., Ha, D., & Clune, J. (2026) · Nature

Artificial Intelligence ApplicationsScientific Computing and Data Management

Cited by 116

The evolutionary origins of hierarchy

Mengistu, H., Huizinga, J., Mouret, J.-B., & Clune, J. (2016) · PLOS Computational Biology

Evolutionary Algorithms and ApplicationsEvolution and Genetic Dynamics

Cited by 115

AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence

Clune, J. (2019) · arXiv

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 82

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

Baker, B., Akkaya, I., Zhokhov, P., Huizinga, J., Tang, J., Ecoffet, A., Houghton, B., Sampedro, R., & Clune, J. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 75

POET: open-ended coevolution of environments and their optimized solutions

Wang, R., Lehman, J., Clune, J., & Stanley, K. O. (2019) · Proceedings of the Genetic and Evolutionary Computation Conference

Evolutionary Algorithms and ApplicationsReinforcement Learning in Robotics

Cited by 61

Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions

Wang, R., Lehman, J., Rawal, A., Zhi, J., Li, Y., Clune, J., & Stanley, K. O. (2020) · arXiv

Reinforcement Learning in RoboticsEvolutionary Algorithms and Applications

Cited by 53

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Yamada, Y., Lange, R. T., Lu, C., Hu, S., Lu, C., Foerster, J., Clune, J., & Ha, D. (2025) · arXiv

Artificial Intelligence ApplicationsAcademic Writing and Publishing

Cited by 32

Genie: Generative Interactive Environments

Bruce, J., Dennis, M., Edwards, A., Parker-Holder, J., Shi, Y., Hughes, E., Lai, M., Mavalankar, A., Steigerwald, R., Apps, C., et al. (2024) · arXiv

Reinforcement Learning in RoboticsGenerative Adversarial Networks and Image Synthesis

Cited by 23

Evolving multimodal robot behavior via many stepping stones with the combinatorial multiobjective evolutionary algorithm

Huizinga, J., & Clune, J. (2022) · Evolutionary Computation

Advanced Multi-Objective Optimization AlgorithmsEvolutionary Algorithms and Applications

Cited by 20

Thought Cloning: Learning to Think while Acting by Imitating Human Thinking

Hu, S., & Clune, J. (2023) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 13

Automated Design of Agentic Systems

Hu, S., Lu, C., & Clune, J. (2024) · arXiv

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

Cited by 10