Paper

  • Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning

    Seonghyun Ban, Kee-Eung Kim, Heesan Kong p64970-64995 from Advances in Neural Information Processing Systems 37
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  • Data curation via joint example selection further accelerates multimodal learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data curation via joint example selection further accelerates multimodal learning

    Talfan Evans, Olivier Hénaff, Hamza Merzić, Nikhil Parthasarathy p141240-141260 from Advances in Neural Information Processing Systems 37
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  • Data Distribution Valuation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data Distribution Valuation

    Giulia Fanti, Chuan-Sheng Foo, Bryan Low, Shuaiqi Wang, Xinyi Xu p2407-2448 from Advances in Neural Information Processing Systems 37
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  • Data Filtering for the Analysis of Biological Tests for Behind Armor Blunt Trauma Studies

    Royal Military Academy (Belgium)

    Data Filtering for the Analysis of Biological Tests for Behind Armor Blunt Trauma Studies

    A. Shah, J. McMahon, J. Op’t Eynde, R. Salzar, B. Johnson, J. McEntire p377-386 from 16th Personal Armour Systems Symposium (PASS 2023)
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  • Data Free Backdoor Attacks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data Free Backdoor Attacks

    Bochuan Cao, Jinghui Chen, Wenbo Guo, Chuxuan Hu, Jinyuan Jia, Bo Li, Dawn Song, Zhen Xiang p23881-23911 from Advances in Neural Information Processing Systems 37
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  • Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions

    Yejin Choi, Jonathan Hayase, Alisa Liu, Sewoong Oh, Noah Smith p8956-8983 from Advances in Neural Information Processing Systems 37
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  • Data subsampling for Poisson regression with pth-root-link

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data subsampling for Poisson regression with pth-root-link

    Han Cheng Lie, Alexander Munteanu p136286-136325 from Advances in Neural Information Processing Systems 37
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  • DATA-DRIVEN APPROACH FOR ASSESSMENT OF SEISMIC DAMAGE IN WOOD BUILDINGS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    DATA-DRIVEN APPROACH FOR ASSESSMENT OF SEISMIC DAMAGE IN WOOD BUILDINGS

    Sifat Muin, Asif Iqbal, John W. Van De Lindt p2143-2149 from World Conference on Timber Engineering (WCTE 2023)
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  • Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models

    Samuel Holt, Tennison Liu, Zhaozhi Qian, Mihaela van der Schaar, James Weatherall p96325-96366 from Advances in Neural Information Processing Systems 37
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  • DATA-DRIVEN INVESTIGATION OF LATENT HEAT THERMAL ENERGY STORAGE PERFORMANCE UNDER DYNAMIC OPERATING CONDITIONS

    ECOS 2024

    DATA-DRIVEN INVESTIGATION OF LATENT HEAT THERMAL ENERGY STORAGE PERFORMANCE UNDER DYNAMIC OPERATING CONDITIONS

    Raman Safaee, Philip Ward, Yulong Ding, Adriano Sciacovelli p1143-1154 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • DATA-DRIVEN MACHINE LEARNING MODELS FOR COMPLEX BUILDING ENERGY LOAD PREDICTIONS: ANALYSIS AND ASSESSMENT OF CONCEPT DRIFT SCENARIOS

    ECOS 2024

    DATA-DRIVEN MACHINE LEARNING MODELS FOR COMPLEX BUILDING ENERGY LOAD PREDICTIONS: ANALYSIS AND ASSESSMENT OF CONCEPT DRIFT SCENARIOS

    Kai Derzsi, Florian Stinner, Matthias Fenske, Thomas Schreiber, Dirk Müller p2502-2512 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • DATA-DRIVEN MODEL PREDICTIVE CONTROL FOR ENERGY-EFFICIENT AND LOW-NOISE OPERATION OF AIR-SOURCE HEAT PUMPS

    ECOS 2024

    DATA-DRIVEN MODEL PREDICTIVE CONTROL FOR ENERGY-EFFICIENT AND LOW-NOISE OPERATION OF AIR-SOURCE HEAT PUMPS

    Jonas Klingebiel, Florian Will, Moritz Beckschulte, Christian Vering, Dirk Müller p2513-2524 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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