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  • Expanding Space Education: Engaging Local Communities Through Interactive VR Experiences (Lumarnity VR)

    International Astronautical Federation (IAF)

    Expanding Space Education: Engaging Local Communities Through Interactive VR Experiences (Lumarnity VR)

    Takuya Yokoyama, Toshikazu Miyashita, Kiho Fukaura, Miho Masugi, Yoshitoki Tanaka, Soichi Mori, Koki Ogawa, Shunsuke Sugimura, Naoki Hayashi, Masahiro Katayama p614-620 from IAF Space Education and Outreach Symposium
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  • Expanding Sparse Tuning for Low Memory Usage

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expanding Sparse Tuning for Low Memory Usage

    Shufan Shen, Junshu Sun, Xiangyang Ji, Qingming Huang, Shuhui Wang p76616-76642 from Advances in Neural Information Processing Systems 37
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  • Expanding STEM Engagement Through Space Research: The AVA Challenge

    International Astronautical Federation (IAF)

    Expanding STEM Engagement Through Space Research: The AVA Challenge

    Ben Newsome, Keira Chrystal, Khushi Daga, David Reynolds, Theodore Tagami, Scott Sleap p18-26 from IAF Space Education and Outreach Symposium
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  • Expanding the Boundaries of Smart Apparel: Exploring Physical, Psychological, and Social Extensions

    Textile Bioengineering and Informatics Society Limited (TBIS)

    Expanding the Boundaries of Smart Apparel: Exploring Physical, Psychological, and Social Extensions

    Qing-Man Wu, Chen Zhang, Su Xu p28-37 from 17th Textile Bioengineering and Informatics Symposium Proceedings (TBIS 2024)
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  • Expanding the Space Innovation Ecosystem Maturity Rubric: Integrating the Nascent Level to Enhance Global Participation

    International Astronautical Federation (IAF)

    Expanding the Space Innovation Ecosystem Maturity Rubric: Integrating the Nascent Level to Enhance Global Participation

    Vedika Latchman, Ariane Platell, Darcey Watson, Madeleine Bandurski p46-56 from IAF Symposium on Emerging Space Ecosystems
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  • Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation

    Jinlong Li, Zequn Jie, Xu Wang, Xiaolin Wei, Lin Ma p16037-16051 from Advances in Neural Information Processing Systems 35
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  • Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch

    Malek Mechergui, Sarath Sreedharan p62458-62479 from Advances in Neural Information Processing Systems 37
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  • Expectation-Maximization Contrastive Learning for Compact Video-And-Language Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expectation-Maximization Contrastive Learning for Compact Video-And-Language Representations

    Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David Clifton, Jie Chen p30291-30306 from Advances in Neural Information Processing Systems 35
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  • Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning

    Niclas Boehmer, Robert Bredereck, Edith Elkind, Piotr Faliszewski, Stanislaw Szufa p31347-31359 from Advances in Neural Information Processing Systems 35
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  • Expected Improvement for Contextual Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expected Improvement for Contextual Bandits

    Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh p22725-22738 from Advances in Neural Information Processing Systems 35
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  • Expected Probabilistic Hierarchies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expected Probabilistic Hierarchies

    Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann p13818-13850 from Advances in Neural Information Processing Systems 37
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  • Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport

    Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov p119811-119837 from Advances in Neural Information Processing Systems 37
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