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Material Type: Bài báo
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SHIBR—The Swedish Historical Birth Records: a semi-annotated datasetNeural computing & applications, 2021-11, Vol.33 (22), p.15863-15875 [Tạp chí có phản biện]The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0941-0643 ;ISSN: 1433-3058 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-06207-zTài liệu số/Tài liệu điện tử |
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2 |
Material Type: Bài báo
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FiP: a Fixed-Point Approach for Causal Generative ModelingarXiv.org, 2024-042024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.06969Tài liệu số/Tài liệu điện tử |
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3 |
Material Type: Bài báo
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Perceiving Music Quality with GANsarXiv.org, 2021-042021. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2006.06287Tài liệu số/Tài liệu điện tử |
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Material Type: Bài báo
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The Essential Role of Causality in Foundation World Models for Embodied AIarXiv.org, 2024-042024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.06665Tài liệu số/Tài liệu điện tử |
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Material Type: Bài báo
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Scaling Federated Learning for Fine-tuning of Large Language ModelsarXiv.org, 2021-022021. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2102.00875Tài liệu số/Tài liệu điện tử |
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Material Type: Bài báo
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Towards Machine Learning on data from Professional CyclistsarXiv.org, 2018-082018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1808.00198Tài liệu số/Tài liệu điện tử |
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7 |
Material Type: Bài báo
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Learned Causal Method Predictionhttp://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2311.03989Tài liệu số/Tài liệu điện tử |
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8 |
Material Type: Bài báo
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Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learninghttp://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2303.12703Tài liệu số/Tài liệu điện tử |
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9 |
Material Type: Bài báo
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Towards Causal Foundation Model: on Duality between Causal Inference and Attentionhttp://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2310.00809Tài liệu số/Tài liệu điện tử |
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10 |
Material Type: Bài báo
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Understanding Causality with Large Language Models: Feasibility and Opportunitieshttp://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2304.05524Tài liệu số/Tài liệu điện tử |