Paper

  • 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

    Zequn Jie, Jinlong Li, Lin Ma, Xu Wang, Xiaolin Wei 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

    Jie Chen, David Clifton, Shen Ge, Jinfa Huang, Peng Jin, Fenglin Liu, Guoli Song, Xian Wu 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

    Sunil Gupta, Santu Rana, Long Tran-Thanh, Hung Tran-The, Tuan Truong, 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

    Bertrand Charpentier, Stephan Günnemann, Marcel Kollovieh, Daniel Zügner 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

    Maksim Bobrin, Nazar Buzun, Dmitry V. Dylov p119811-119837 from Advances in Neural Information Processing Systems 37
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  • Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection

    Charles Guille-Escuret, Ioannis Mitliagkas, Joao Monteiro, Pierre-André Noël, David Vazquez p130953-130976 from Advances in Neural Information Processing Systems 37
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  • Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine-Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine-Tuning

    Henghui Ding, Han Hu, Ding Jia, Weicong Liang, Weihong Lin, Xiao Luo, Yuhui Yuan, Chao Zhang, Zheng Zhang p35462-35477 from Advances in Neural Information Processing Systems 35
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