International AI Safety Report 2026
2026国际人工智能安全报告
AI总结 2026国际人工智能安全报告由全球29国及国际组织共同参与,汇集超过100位专家意见,全面评估通用人工智能系统的安全性和潜在风险。
作者
Deep Learning
2026国际人工智能安全报告
AI总结 2026国际人工智能安全报告由全球29国及国际组织共同参与,汇集超过100位专家意见,全面评估通用人工智能系统的安全性和潜在风险。
2025国际人工智能安全报告:第二关键更新:技术安全措施与风险管理工作
AI总结 2025国际人工智能安全报告第二关键更新,探讨通用人工智能风险管理工作进展,包括技术安全措施、对抗训练、数据整理及制度框架的建立。
Comments Published in Science: https://www.science.org/doi/10.1126/science.adn0117
Comments ICCV'23. Code at https://github.com/google-research/pix2seq
Comments 31 pages, ICLR 2023
Comments ICLR'23
Comments EMNLP 2022 short paper
Comments The first three authors contributed equally
Comments ECCV 2020; Project Page: https://nasa-eccv20.github.io/
Comments ICLR'22. Code and pretrained models at https://github.com/google-research/pix2seq
Comments NeurIPS 2021; The first two authors contributed equally; Project website: https://canonical-capsules.github.io
Comments Spotlight (Top 3%) at NeurIPS 2021
Comments ICLR 2021
Comments 43 pages, 5 figures
Comments NeurIPS'2020. Code and pretrained models at https://github.com/google-research/simclr
Comments Clarify that implementations should use available parallelism in pseudo-code
Comments ICML'2020. Code and pretrained models at https://github.com/google-research/simclr
Comments Under review, corrected citation spelling
Comments Accepted at NeurIPS 2019, corrected mutual information formulas
Journal ref ICLR 2020