Paper

  • Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration

    Borja Leon, Francesco Riccio, Peter Stone, Kaushik Subramanian, Peter Wurman p49625-49648 from Advances in Neural Information Processing Systems 37
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  • Discovering Design Concepts for CAD Sketches

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discovering Design Concepts for CAD Sketches

    Hao Pan, Yuezhi Yang p28803-28814 from Advances in Neural Information Processing Systems 35
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  • Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design

    Greg Farquhar, Jakob Foerster, Matthew T Jackson, Minqi Jiang, Chris Lu, Jack Parker-Holder, Risto Vuorio, Shimon Whiteson p79980-79998 from Advances in Neural Information Processing Systems 36
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  • Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning

    Seungyong Moon, Bumsoo Park, Hyun Oh Song, Junyoung Yeom p63674-63686 from Advances in Neural Information Processing Systems 36
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  • Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions

    Chengzhi Cao, Shuang Li, Chao Yang, Ruimao Zhang p67948-67959 from Advances in Neural Information Processing Systems 36
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  • Discovering plasticity rules that organize and maintain neural circuits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discovering plasticity rules that organize and maintain neural circuits

    David Bell, Alison Duffy, Adrienne Fairhall p40732-40751 from Advances in Neural Information Processing Systems 37
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  • Discovering Preference Optimization Algorithms with and for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discovering Preference Optimization Algorithms with and for Large Language Models

    Alex Chan, Claudio Fanconi, Jakob Foerster, Samuel Holt, Robert Lange, Chris Lu, Mihaela van der Schaar p86528-86573 from Advances in Neural Information Processing Systems 37
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  • Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models

    Xiaowen Chu, Peijie Dong, Yike Guo, Lujun Li, Qifeng Liu, Xiang Liu, Wenhan Luo, Zhenheng Tang, Qiang Wang, Wei Xue p141292-141317 from Advances in Neural Information Processing Systems 37
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  • Discovery of Single Independent Latent Variable

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discovery of Single Independent Latent Variable

    Ori Katz, Uri Shaham, Jonathan Svirsky, Ronen Talmon p25251-25263 from Advances in Neural Information Processing Systems 35
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  • Discovery of the Hidden World with Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discovery of the Hidden World with Large Language Models

    Yongqiang Chen, James Cheng, Mingming Gong, Bo Han, Chenxi Liu, Tongliang Liu, Kun Zhang p102307-102365 from Advances in Neural Information Processing Systems 37
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  • DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents

    Erin Bransom, Peter Clark, Marc-Alexandre Côté, Bhavana Dalvi Mishra, Peter Jansen, Tushar Khot, Bodhisattwa Prasad Majumder, Oyvind Tafjord p10088-10116 from Advances in Neural Information Processing Systems 37
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  • Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning

    Yoshua Bengio, Anirudh Goyal, Riashat Islam, Kenji Kawaguchi, Alex Lamb, Romain Laroche, Xin Li, Remi Tachet Des Combes, Hongyu Zang p3885-3899 from Advances in Neural Information Processing Systems 35
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