Paper

  • ElasticMVS: Learning Elastic Part Representation for Self-Supervised Multi-View Stereopsis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ElasticMVS: Learning Elastic Part Representation for Self-Supervised Multi-View Stereopsis

    Jinzhi Zhang, Ruofan Tang, Zheng Cao, Jing Xiao, Ruqi Huang, Lu Fang p23510-23523 from Advances in Neural Information Processing Systems 35
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  • ELASTOMECHANICAL PROPERTIES OF GLUED LAMINATED TIMBER MADE OF STRENGTH GRADED OIL PALM LUMBER

    World Conference on Timber Engineering 2023 (WCTE 2023)

    ELASTOMECHANICAL PROPERTIES OF GLUED LAMINATED TIMBER MADE OF STRENGTH GRADED OIL PALM LUMBER

    Katja Fruehwald-Koenig p638-646 from World Conference on Timber Engineering (WCTE 2023)
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  • ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer

    Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li p119174-119197 from Advances in Neural Information Processing Systems 37
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  • ELDEN: Exploration via Local Dependencies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ELDEN: Exploration via Local Dependencies

    Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín p15456-15474 from Advances in Neural Information Processing Systems 36
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  • Electricity Demand Forecasting for Rural Communities in Developing Countries: Calibrating a Stochastic Model for the Bolivian Case

    ECOS 2023

    Electricity Demand Forecasting for Rural Communities in Developing Countries: Calibrating a Stochastic Model for the Bolivian Case

    Claudia Sanchez-Solis, Pietro Di Betta, Nicolò Stevanato, Sergio Balderrama, Emanuela Colombo, Sylvain Quoilin p1935-1946 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

    Chunyuan Li, Haotian Liu, Liunian Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, Jianfeng Gao p9287-9301 from Advances in Neural Information Processing Systems 35
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  • Elevating engineering education via improved pedagogically based course structures

    Research In Engineering Education Network

    Elevating engineering education via improved pedagogically based course structures

    Sara Warren, Andrew Barton p1068-1076 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • ELIAS: End-To-End Learning to Index and Search in Large Output Spaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ELIAS: End-To-End Learning to Index and Search in Large Output Spaces

    Nilesh Gupta, Patrick Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit Dhillon p19798-19809 from Advances in Neural Information Processing Systems 35
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  • Eliciting Thinking Hierarchy Without a Prior

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Eliciting Thinking Hierarchy Without a Prior

    Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu p13329-13341 from Advances in Neural Information Processing Systems 35
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  • Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback

    Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew Walter p12192-12221 from Advances in Neural Information Processing Systems 36
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  • ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward

    Zixian Ma, Rose Wang, Fei-Fei Li, Michael Bernstein, Ranjay Krishna p8304-8317 from Advances in Neural Information Processing Systems 35
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  • Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization

    Runqi Lin, Chaojian Yu, Tongliang Liu p67866-67885 from Advances in Neural Information Processing Systems 36
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