Paper

  • Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing

    Muhammad Atif Butt, Joost Van De Weijer, Kai Wang, Fei Yang, Shiqi Yang p26291-26303 from Advances in Neural Information Processing Systems 36
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  • Dynamic Regret of Adversarial Linear Mixture MDPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dynamic Regret of Adversarial Linear Mixture MDPs

    Long-Fei Li, Peng Zhao, Zhi-Hua Zhou p60685-60711 from Advances in Neural Information Processing Systems 36
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  • Dynamic Rescaling for Training GNNs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dynamic Rescaling for Training GNNs

    Rebekka Burkholz, Nimrah Mustafa p125370-125393 from Advances in Neural Information Processing Systems 37
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  • DYNAMIC RESPONSE OF DIAGONAL LAMINATED TIMBER – PARAMETER STUDIES AND MODELLING APPROACHES

    World Conference on Timber Engineering 2025

    DYNAMIC RESPONSE OF DIAGONAL LAMINATED TIMBER – PARAMETER STUDIES AND MODELLING APPROACHES

    Erik Serrano, Henrik Danielsson, Peter Persson p1982-1989 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • DYNAMIC RESPONSE OF TALL TIMBER BUILDINGS UNDER SERVICE LOAD - RESULTS FROM THE DYNATTB RESEARCH PROGRAM

    World Conference on Timber Engineering 2023 (WCTE 2023)

    DYNAMIC RESPONSE OF TALL TIMBER BUILDINGS UNDER SERVICE LOAD - RESULTS FROM THE DYNATTB RESEARCH PROGRAM

    Rune Abrahamsen, Magne A. Bjertnæs, Jacques Bouillot, Boštjan Brank, Roberto Crocetti, Olivier Flamand, Fabien Garains, Igor Gavric, Ludwig Hahusseau, Alan Jalil, Marie Johansson, Thomas Johansson, Wai Kei Ao, Blaž Kurent, Pierre Lande p2907-2914 from World Conference on Timber Engineering (WCTE 2023)
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  • Dynamic Responses of the Self-centering Double-column Rocking Pier Considering Soil-structure Interaction under Near-fault Pulse Ground Motions

    Aussino Academic Publishing House (AAPH)

    Dynamic Responses of the Self-centering Double-column Rocking Pier Considering Soil-structure Interaction under Near-fault Pulse Ground Motions

    Chang Li, Huihui Dong, Xiuli Du p1124-1129 from 10th Academic Conference of Geology Resource Management and Sustainable Development 2022
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  • Dynamic Scheduling of Four-Way Shuttles Based on Improved Deep Q-Learning Algorithm

    Aussino Academic Publishing House (AAPH)

    Dynamic Scheduling of Four-Way Shuttles Based on Improved Deep Q-Learning Algorithm

    Xuemei Wang, Shunran Song, Yanyan Wang, Lilin Zang, Zijian Xu p24-31 from 13th International Conference on Logistics and Systems Engineering 2024
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  • Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition

    Rui Ai, David Simchi-Levi, Feng Zhu p53525-53570 from Advances in Neural Information Processing Systems 37
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  • Dynamic Simulation of Electrical and Thermal Systems for Rapid Design Iteration and Validation of Power Profiles for 3U Imaging CubeSAT

    International Astronautical Federation (IAF)

    Dynamic Simulation of Electrical and Thermal Systems for Rapid Design Iteration and Validation of Power Profiles for 3U Imaging CubeSAT

    Aryan Garg, Vinayak Agarwal, Shiv Shukla, Sai Kartik p572-578 from 31st IAA Symposium on Small Satellite Missions
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  • Dynamic Skin Deformation of Knee Based on Speed Skating

    Textile Bioengineering and Informatics Society Limited (TBIS)

    Dynamic Skin Deformation of Knee Based on Speed Skating

    Yan Wu, Qing-Yi Wang, Xue Qin, Zhi-Yuan Hu, Li Liu p663-673 from 17th Textile Bioengineering and Informatics Symposium Proceedings (TBIS 2024)
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  • Dynamic Sparse Network for Time Series Classification: Learning What to “See”

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dynamic Sparse Network for Time Series Classification: Learning What to “See”

    Shiwei Liu, Decebal Constantin Mocanu, Elena Mocanu, Mykola Pechenizkiy, Boqian Wu, Qiao Xiao, Yu Zhang p16849-16862 from Advances in Neural Information Processing Systems 35
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  • Dynamic Sparsity Is Channel-Level Sparsity Learner

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dynamic Sparsity Is Channel-Level Sparsity Learner

    Meng Fang, Tianjin Huang, Gen Li, Shiwei Liu, Xiaolong Ma, Vlado Menkovski, Mykola Pechenizkiy, Li Shen, Zhangyang Atlas Wang, Lu Yin p67993-68012 from Advances in Neural Information Processing Systems 36
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