Paper

  • Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation

    Xuxi Chen, Xianzhi Du, Xueqin Huang, Ziyu Jiang, Zhangyang Wang, Denny Zhou p29248-29261 from Advances in Neural Information Processing Systems 35
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  • Back to the Continuous Attractor

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Back to the Continuous Attractor

    Guillermo Martín-Sánchez, Il Park, Ábel Ságodi, Piotr Sokół p66856-66906 from Advances in Neural Information Processing Systems 37
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  • Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms Overview – the Problem, the Opportunity

    International Grassland Congress 2023

    Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms Overview – the Problem, the Opportunity

    P. Keyser, C. Bitler p182-185 from XXV International Grassland Congress (IGC 2023)
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  • Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms: the Soil Health Properties of Native Grasslands

    International Grassland Congress 2023

    Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms: the Soil Health Properties of Native Grasslands

    C. Bitler, P. Keyser p60-63 from XXV International Grassland Congress (IGC 2023)
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  • Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms; Productive Grasslands – the Role of Adapted Species to Increase Ecosystems Resilience

    International Grassland Congress 2023

    Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms; Productive Grasslands – the Role of Adapted Species to Increase Ecosystems Resilience

    M. B. Chiavegato, A. F. Mammana, C. Y. Rodriguez p85-87 from XXV International Grassland Congress (IGC 2023)
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  • Back to the Future: How Do We Get There from Here? Making Restoration Work

    International Grassland Congress 2023

    Back to the Future: How Do We Get There from Here? Making Restoration Work

    K. Swilling, E. Bisangwa, C. Bitler, P. Keyser p307-310 from XXV International Grassland Congress (IGC 2023)
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  • Back-Face Dynamic Profiling System, a Tool for Behind-Armour Blunt Trauma

    Royal Military Academy (Belgium)

    Back-Face Dynamic Profiling System, a Tool for Behind-Armour Blunt Trauma

    A. Goertz, A. Dannaoui, A. Brown, D. Sherman, C. Bir, K. Rafaels p322-331 from 17th Personal Armour Systems Symposium (PASS 2025)
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  • Back-Modality: Leveraging Modal Transformation for Data Augmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Back-Modality: Leveraging Modal Transformation for Data Augmentation

    Zhi Li, Yifan Liu, Yin Zhang p71430-71448 from Advances in Neural Information Processing Systems 36
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  • BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment

    Muhao Chen, Junjie Hu, Bo Li, Jiazhao Li, Yiquan Li, Yixuan Li, Patrick McDaniel, Xiangyu Qi, Jiongxiao Wang, Chaowei Xiao p5210-5243 from Advances in Neural Information Processing Systems 37
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  • BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

    Hongrui Chen, Chao Shen, Shaokui Wei, Baoyuan Wu, Danni Yuan, Mingda Zhang, Zihao Zhu p10546-10559 from Advances in Neural Information Processing Systems 35
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  • BackTime: Backdoor Attacks on Multivariate Time Series Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BackTime: Backdoor Attacks on Multivariate Time Series Forecasting

    Dongqi Fu, Xiao Lin, Zhining Liu, Ruizhong Qiu, Hanghang Tong p131344-131368 from Advances in Neural Information Processing Systems 37
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  • BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models

    Xiao Li, Qijun Luo, Hengxu Yu p24926-24958 from Advances in Neural Information Processing Systems 37
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