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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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

Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou p29719-29732 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Depth-discriminative Metric Learning for Monocular 3D Object Detection

Wonhyeok Choi, Mingyu Shin, Sunghoon Im p80165-80177 from Advances in Neural Information Processing Systems 36

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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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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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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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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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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Derivative-enhanced Deep Operator Network

Yuan Qiu, Nolan Bridges, Peng Chen p20945-20981 from Advances in Neural Information Processing Systems 37

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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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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks

Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P Wipf p38436-38448 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DesCo: Learning Object Recognition with Rich Language Descriptions

Liunian Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang p37511-37526 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents

Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian (Shawn) Ma, Yitao Liang p34153-34189 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Described Object Detection: Liberating Object Detection with Flexible Expressions

Chi Xie, Zhao Zhang, Yixuan Wu, Feng Zhu, Rui Zhao, Shuang Liang p79095-79107 from Advances in Neural Information Processing Systems 36

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