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  • DAMAGE MODEL FOR A BIOSSOURCED HETEROGENEOUS MATERIAL: APPLICATION TO TIMBER

    World Conference on Timber Engineering 2023 (WCTE 2023)

    DAMAGE MODEL FOR A BIOSSOURCED HETEROGENEOUS MATERIAL: APPLICATION TO TIMBER

    Amal Rebhi, Myriam Chaplain, Jean-Luc Coureau, Cedric Perez p209-215 from World Conference on Timber Engineering (WCTE 2023)
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  • DAPE: Data-Adaptive Positional Encoding for Length Extrapolation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DAPE: Data-Adaptive Positional Encoding for Length Extrapolation

    Yihang Gao, Minbin Huang, Xin Jiang, Jingyao Li, Yu Li, Zhenguo Li, Michael Ng, Xiaozhe Ren, Han Shi, Jing Xiong, Chuanyang Zheng p26659-26700 from Advances in Neural Information Processing Systems 37
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  • DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices

    Amin Beheshti, Kim-Kwang Raymond Choo, Wanchun Dou, Hongsheng Hu, Yongzhe Jia, Lianyong Qi, Xiaolong Xu, Xuyun Zhang p13099-13123 from Advances in Neural Information Processing Systems 37
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  • DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph

    Jiaao Chen, Diyi Yang, Zhehao Zhang p135904-135942 from Advances in Neural Information Processing Systems 37
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  • DarkSAM: Fooling Segment Anything Model to Segment Nothing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DarkSAM: Fooling Segment Anything Model to Segment Nothing

    Shengshan Hu, Hai Jin, Minghui Li, Yufei Song, Xianlong Wang, Dezhong Yao, Leo Yu Zhang, Ziqi Zhou p49859-49880 from Advances in Neural Information Processing Systems 37
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  • DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection

    Cunhang Fan, Zhao Lv, Jianhua Tao, Sheng Yan, Xiaoke Yang, Hongyu Zhang p31688-31707 from Advances in Neural Information Processing Systems 37
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  • DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA

    Maya Kasowski, Anshul Kundaje, Anusri Pampari, Aman Patel, Arpita Singhal, Austin Wang p62024-62061 from Advances in Neural Information Processing Systems 37
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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

    Junxian He, Yuxuan Tong, Rui Wang, Ruidong Wu, Xiwen Zhang p7821-7846 from Advances in Neural Information Processing Systems 37
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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

    Hanseul Cho, Junsoo Oh, Baekrok Shin, Chulhee Yun p43300-43340 from Advances in Neural Information Processing Systems 37
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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, Jinyu Tian, Haiwei Wu, 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

    Baihe Huang, Michael Jordan, Sai Praneeth Karimireddy, Charles Lu, Ramesh Raskar, Praneeth Vepakomma p118086-118118 from Advances in Neural Information Processing Systems 37
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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

    Alexei Efros, Aaron Hertzmann, Sheng-Yu Wang, Richard Zhang, Jun-Yan Zhu p4235-4266 from Advances in Neural Information Processing Systems 37
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