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  • DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

    Yuxuan Tong, Xiwen Zhang, Rui Wang, Ruidong Wu, Junxian He p7821-7846 from Advances in Neural Information Processing Systems 37
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  • DART: Articulated Hand Model with Diverse Accessories and Rich Textures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DART: Articulated Hand Model with Diverse Accessories and Rich Textures

    Daiheng Gao, Yuliang Xiu, Kailin Li, Lixin Yang, Feng Wang, Peng Zhang, Bang Zhang, Cewu Lu, Ping Tan p37055-37067 from Advances in Neural Information Processing Systems 35
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  • DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning

    Quan Vuong, Aviral Kumar, Sergey Levine, Yevgen Chebotar p38937-38949 from Advances in Neural Information Processing Systems 35
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  • DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity

    Baekrok Shin, Junsoo Oh, Hanseul Cho, Chulhee Yun p43300-43340 from Advances in Neural Information Processing Systems 37
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  • DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation

    Qingkai Fang, Yan Zhou, Yang Feng p72604-72623 from Advances in Neural Information Processing Systems 36
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  • DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain

    Fengpeng Li, Kemou Li, Haiwei Wu, Jinyu Tian, Jiantao Zhou p127099-127128 from Advances in Neural Information Processing Systems 37
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  • Data Acquisition via Experimental Design for Data Markets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data Acquisition via Experimental Design for Data Markets

    Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael Jordan, Ramesh Raskar p118086-118118 from Advances in Neural Information Processing Systems 37
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  • Data Analysis and Calculation of Energy Sustainable Management Using Vector Space Model

    Aussino Academic Publishing House (AAPH)

    Data Analysis and Calculation of Energy Sustainable Management Using Vector Space Model

    He Li, Hanyu Wang, Shan Yi, Jing Gao p36-41 from 11th International Symposium on Project Management (ISPM2023)
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  • Data Attribution for Text-to-Image Models by Unlearning Synthesized Images

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data Attribution for Text-to-Image Models by Unlearning Synthesized Images

    Sheng-Yu Wang, Aaron Hertzmann, Alexei Efros, Jun-Yan Zhu, Richard Zhang p4235-4266 from Advances in Neural Information Processing Systems 37
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  • Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome

    Elliott Gordon-Rodriguez, Thomas Quinn, John Cunningham p20551-20565 from Advances in Neural Information Processing Systems 35
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  • Data Augmentation for Efficient Learning from Parametric Experts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data Augmentation for Efficient Learning from Parametric Experts

    Alexandre Galashov, Josh Merel, Nicolas Heess p31484-31496 from Advances in Neural Information Processing Systems 35
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  • Data Augmentation MCMC for Bayesian Inference from Privatized Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data Augmentation MCMC for Bayesian Inference from Privatized Data

    Nianqiao Ju, Jordan Awan, Ruobin Gong, Vinayak Rao p12732-12743 from Advances in Neural Information Processing Systems 35
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