Skip to content
conftrace_

Jeff Clune

18 papers · 2014–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (41) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🌟 Keyword Trendsetter Combo (4) πŸ‘₯ Mega-Team Β· Squad πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion (2) 🧭 Keyword Pioneer πŸ“ˆ Trend Setter πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ—ƒοΈ Keyword Collector (85) 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze ⚑ Prolific Year Β· Productive

Venues

ICLR (6) NeurIPS (6) ICML (3) CVPR (2) IJCAI (1)

Top co-authors

Joel Lehman (5) Jason Yosinski (4) Jenny Zhang (4) Kenneth Stanley (4) Anh Nguyen (3) Shengran Hu (3) Cong Lu (2) Felipe Petroski Such (2) Thomas Miconi (2) Alexey Dosovitskiy (2)

Research topics

Artificial Intelligence (15) Core AI (13) Machine Learning (11) Reinforcement Learning (8) Learning Types Β· Machine Learning (7) Deep Learning (6) Methods (6) Learning Paradigms Β· Artificial Intelligence (5) Architectures (3) Core Methods (3) Learning Types Β· Deep Learning (3) Computer Vision (2) Applications (2) Learning Paradigms Β· Machine Learning (2) Models (2)

Keywords

reinforcement learning (6) foundation model (4) imitation learning (2) synaptic plasticity (2) deep reinforcement learning (2) lifelong learning (2) deep neural network (2) open-ended learning (2) representation learning (2) activation maximization (2) evolutionary algorithm (2) conditional generation (1) image generation (1) text-to-image generation (1) policy learning (1) text generation (1) feature learning (1) prompt engineering (1) curriculum learning (1) hebbian learning (1)

Papers

Automated Design of Agentic Systems ICLR 2025 Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models ICLR 2025 OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code ICLR 2025 First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NeurIPS 2024 Genie: Generative Interactive Environments ICML 2024 OMNI: Open-endedness via Models of human Notions of Interestingness ICLR 2024 Quality-Diversity through AI Feedback ICLR 2024 Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization ICML 2024 Thought Cloning: Learning to Think while Acting by Imitating Human Thinking NeurIPS 2023 Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos NeurIPS 2022 An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents IJCAI 2019 Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity ICLR 2019 Differentiable plasticity: training plastic neural networks with backpropagation ICML 2018 Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents NeurIPS 2018 Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space CVPR 2017 Synthesizing the preferred inputs for neurons in neural networks via deep generator networks NeurIPS 2016 Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015 How transferable are features in deep neural networks? NeurIPS 2014