Paper

  • DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching

    Donghao Luo, Xue Wang p88003-88044 from Advances in Neural Information Processing Systems 37
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  • DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform

    Riccardo Barbano, Alexander Denker, Kieran Didi, Vincent Dutordoir, Urszula Komorowska, Pietro Lio, Emile Mathieu, Simon Mathis, Shreyas Padhy, Francisco Vargas p19636-19682 from Advances in Neural Information Processing Systems 37
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  • DeiSAM: Segment Anything with Deictic Prompting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeiSAM: Segment Anything with Deictic Prompting

    Manuel Brack, Devendra Dhami, Kristian Kersting, Patrick Schramowski, Hikaru Shindo, Gopika Sudhakaran p52266-52295 from Advances in Neural Information Processing Systems 37
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  • Déjà Vu Memorization in Vision–Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Déjà Vu Memorization in Vision–Language Models

    Kamalika Chaudhuri, Chuan Guo, Bargav Jayaraman p50722-50749 from Advances in Neural Information Processing Systems 37
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  • DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering

    Junhao He, Jingkai Sun, Mingyuan Sun, Jiaxu Wang, Renjing Xu, Qiang Zhang, Ziyi Zhang p45703-45736 from Advances in Neural Information Processing Systems 37
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  • Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models

    Baobao Chang, Yun Chen, Xu Han, Zhiyuan Liu, Bowen Ping, Maosong Sun, Hanqing Wang, Shuo Wang, Yuzhuang Xu, Yukun Yan p31056-31077 from Advances in Neural Information Processing Systems 37
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  • DELTABEAM WITH TIMBER FLOOR JOINTS - LOAD BEARING CAPACITY AT AMBIENT TEMPERATURE AND IN FIRE SITUATION

    World Conference on Timber Engineering 2023 (WCTE 2023)

    DELTABEAM WITH TIMBER FLOOR JOINTS - LOAD BEARING CAPACITY AT AMBIENT TEMPERATURE AND IN FIRE SITUATION

    Salla-Mari West, Elena Camnasio, Simo Peltonen p3167-3176 from World Conference on Timber Engineering (WCTE 2023)
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  • DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations

    Longbiao Cheng, Niklas Hahn, Shih-Chii Liu, Pehuen Moure, Zuowen Wang p57564-57590 from Advances in Neural Information Processing Systems 37
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  • DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking

    Qi Liu, Jianfeng Pei, Jiaxian Yan, Kai Zhang, Zaixi Zhang, Jintao Zhu p113282-113310 from Advances in Neural Information Processing Systems 37
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  • Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

    Deng Cai, Zhihang Fu, Binbin Lin, Zhengkai Lin, Kai Liu, Wenxiao Wang, Yue Wu, Liang Xie, Jieping Ye p30686-30726 from Advances in Neural Information Processing Systems 37
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  • DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States

    Nan Song, Bozhou Zhang, Li Zhang p106582-106606 from Advances in Neural Information Processing Systems 37
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  • Demographic Mediation of the Relationship Between Engagement and Performance in a Blended Dynamics Engineering Course

    Research In Engineering Education Network

    Demographic Mediation of the Relationship Between Engagement and Performance in a Blended Dynamics Engineering Course

    Casey Lynn Haney, Aziz Dridi, Jeffrey F. Rhoads, Edward Berger, Jennifer DeBoer p356-364 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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