conftrace_

Jeff Clune

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

Achievements

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+13 more ↓ 🏃 Academic Marathon (11) 🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)
🏃 Academic Marathon (11) 🐝 Cross-Pollinator (6) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) 🏆 Keyword Champion 👥 Mega-Team (25) 🧬 Topic Evolution 👑 Triple Crown 🔥 Unstoppable (6) Prolific Year (5) 📈 Trend Setter 💎 Century Club (18) The Questioner

Conferences

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

Papers

Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models ICLR 2025 Automated Design of Agentic Systems ICLR 2025 OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code ICLR 2025 Quality-Diversity through AI Feedback ICLR 2024 Genie: Generative Interactive Environments ICML 2024 First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NIPS 2024 Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization ICML 2024 OMNI: Open-endedness via Models of human Notions of Interestingness ICLR 2024 Thought Cloning: Learning to Think while Acting by Imitating Human Thinking NIPS 2023 Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos NIPS 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 NIPS 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 NIPS 2016 Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015 How transferable are features in deep neural networks? NIPS 2014