Paper

  • Depth is More Powerful than Width with Prediction Concatenation in Deep Forest

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Depth is More Powerful than Width with Prediction Concatenation in Deep Forest

    Yi-Xiao He, Shen-Huan Lyu, Zhi-Hua Zhou p29719-29732 from Advances in Neural Information Processing Systems 35
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  • Depth-discriminative Metric Learning for Monocular 3D Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Depth-discriminative Metric Learning for Monocular 3D Object Detection

    Wonhyeok Choi, Sunghoon Im, Mingyu Shin p80165-80177 from Advances in Neural Information Processing Systems 36
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  • Der q,ω-Lieschen Matrixgruppen

    Hadronic Press

    Der q,ω-Lieschen Matrixgruppen

    Thomas Ernst p515-537 from 2020 International Teleconference on the Einstein-Podolsky-Rosen Argument that "Quantum Mechanics is not a Complete Theory"
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  • Derandomized novelty detection with FDR control via conformal e-values

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Derandomized novelty detection with FDR control via conformal e-values

    Meshi Bashari, Amir Epstein, Yaniv Romano, Matteo Sesia p65585-65596 from Advances in Neural Information Processing Systems 36
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  • Derandomizing Multi-Distribution Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Derandomizing Multi-Distribution Learning

    Kasper Green Larsen, Omar Montasser, Nikita Zhivotovskiy p94246-94264 from Advances in Neural Information Processing Systems 37
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  • Deregulation of Market Access and Innovation: Empirical Evidence from the Enforcement of Negative List Policy

    Aussino Academic Publishing House (AAPH)

    Deregulation of Market Access and Innovation: Empirical Evidence from the Enforcement of Negative List Policy

    Aoxue Zhang p329-334 from 12th International Symposium on Project Management (ISPM2024)
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  • Derisking the AIV\AIT Phase for Constellation: The HERMES Approach

    International Astronautical Federation (IAF)

    Derisking the AIV\AIT Phase for Constellation: The HERMES Approach

    Matteo Quirino, Michèle Lavagna p1747-1756 from 31st IAA Symposium on Small Satellite Missions
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  • DERIVATION FROM EN927 METHOD FOR EVALUATING OUTDOOR DURABILITY OF COATED FIRE-RETARDANT-TREATED WOOD

    World Conference on Timber Engineering 2023 (WCTE 2023)

    DERIVATION FROM EN927 METHOD FOR EVALUATING OUTDOOR DURABILITY OF COATED FIRE-RETARDANT-TREATED WOOD

    Ryo Takase, Atsuko Ishikawa, Daisuke Kamikawa p505-511 from World Conference on Timber Engineering (WCTE 2023)
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  • DERIVATION OF SHEAR MODULUS OF THE RPF ADHESIVE LAYER IN BLOCK SHEAR TESTS USING DIGITAL IMAGE CORRELATION

    World Conference on Timber Engineering 2025

    DERIVATION OF SHEAR MODULUS OF THE RPF ADHESIVE LAYER IN BLOCK SHEAR TESTS USING DIGITAL IMAGE CORRELATION

    Koki Kawano, Kohta Miyamoto, Kenji Aoki p297-302 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Derivative-enhanced Deep Operator Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Derivative-enhanced Deep Operator Network

    Nolan Bridges, Peng Chen, Yuan Qiu p20945-20981 from Advances in Neural Information Processing Systems 37
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  • Derivatives of Stochastic Gradient Descent in parametric optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Derivatives of Stochastic Gradient Descent in parametric optimization

    Franck Iutzeler, Edouard Pauwels, Samuel Vaiter p118859-118882 from Advances in Neural Information Processing Systems 37
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  • Deriving More Value from Coal Mining Residues

    Coal Technologies Associates

    Deriving More Value from Coal Mining Residues

    Dave Osborne, Zhong Tao, Zhongua Chen, Soheil Jahandari, Atousa Khazaie, Maroun Rahme p361-362 from Clearwater Clean Energy Conference 2022
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