Paper

  • Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments

    Krzysztof Kacprzyk, Paulius Rauba, Nabeel Seedat, Mihaela van der Schaar p42225-42267 from Advances in Neural Information Processing Systems 37
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  • Self-Labeling the Job Shop Scheduling Problem

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Labeling the Job Shop Scheduling Problem

    Simone Calderara, Andrea Corsini, Mauro Dell'Amico, Angelo Porrello p105528-105551 from Advances in Neural Information Processing Systems 37
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  • Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation

    Zixiang Chen, Quanquan Gu, Kaixuan Ji, Huizhuo Yuan p73366-73398 from Advances in Neural Information Processing Systems 37
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  • Self-playing Adversarial Language Game Enhances LLM Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-playing Adversarial Language Game Enhances LLM Reasoning

    Pengyu Cheng, Yong Dai, Nan Du, Lei Han, Tianhao Hu, Xiaolong Li, Han Xu, Zhisong Zhang p126515-126543 from Advances in Neural Information Processing Systems 37
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  • Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations

    Stefano Ermon, Amil Merchant, Nikil Selvam p5429-5453 from Advances in Neural Information Processing Systems 37
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  • Self-Replicating Machines

    International Astronautical Federation (IAF)

    Self-Replicating Machines

    Ravan Akhundov, Fakhri Amanov p450-452 from 22nd IAA Symposium on Visions and Strategies for the Future
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  • Self-Replicating Probes Are a Reliable Strategy for ETI

    International Astronautical Federation (IAF)

    Self-Replicating Probes Are a Reliable Strategy for ETI

    Alex Ellery p13-23 from 53rd IAA Symposium on the Search for Extraterrestrial Intelligence (SETI) - The Next Steps
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  • Self-Replication Technology for Ubiquitous Space Exploration

    International Astronautical Federation (IAF)

    Self-Replication Technology for Ubiquitous Space Exploration

    Alex Ellery p62-77 from 22nd IAA Symposium on Visions and Strategies for the Future
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  • Self-Retractable Solar Panel using a Nitinol and Hafnium Structure for Lunar Surface Applications.

    International Astronautical Federation (IAF)

    Self-Retractable Solar Panel using a Nitinol and Hafnium Structure for Lunar Surface Applications.

    Omar S. Penetro, Arlette P. S. Hernandez, Flavio E. H. López, Jonathan C. López, Laura G. B. Martell, Kátia M. Lombardo, Aurea R. G. Montero, Ivan F. G. Mendoza, Jose L. R. Muñoz, Nadia L. Z. Perez, Gerardo P. Mora et al. p1603-1612 from IAF Materials and Structures Symposium
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  • Self-Retrieval: End-to-End Information Retrieval with One Large Language Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Retrieval: End-to-End Information Retrieval with One Large Language Model

    Jiawei Chen, Cheng Fu, Xianpei Han, Ben He, Fei Huang, Yongbin Li, Zhuoqun Li, Hongyu Lin, Yaojie Lu, Le Sun, Qiaoyu Tang, Bowen Yu, Haiyang Yu p63510-63533 from Advances in Neural Information Processing Systems 37
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  • Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation

    Juan Cao, Sheng Tang, Ruize Zhang p43788-43808 from Advances in Neural Information Processing Systems 37
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  • Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels

    Jan-Philipp Fränken, Kanishk Gandhi, Tobias Gerstenberg, Noah Goodman, Rafael Rafailov, Eric Zelikman p61328-61371 from Advances in Neural Information Processing Systems 37
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