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  • HOW CLUSTERING APPROACHES AFFECT THE OPTIMAL DESIGN OF FUTURE MULTI-ENERGY SYSTEMS

    ECOS 2024

    HOW CLUSTERING APPROACHES AFFECT THE OPTIMAL DESIGN OF FUTURE MULTI-ENERGY SYSTEMS

    Alessandro Pampado, Gabriele Volpato, Andrea Lazzaretto p1481-1492 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • How Control Information Influences Multilingual Text Image Generation and Editing?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Control Information Influences Multilingual Text Image Generation and Editing?

    Zuan Gao, Yadong Qu, Hongtao Xie, Boqiang Zhang p6884-6904 from Advances in Neural Information Processing Systems 37
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  • How Diffusion Models Learn to Factorize and Compose

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Diffusion Models Learn to Factorize and Compose

    Ila Fiete, Qiyao Liang, Ziming Liu, Mitchell Ostrow p15121-15148 from Advances in Neural Information Processing Systems 37
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  • How Do Large Language Models Acquire Factual Knowledge During Pretraining?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Do Large Language Models Acquire Factual Knowledge During Pretraining?

    Du-Seong Chang, Hoyeon Chang, Jinho Park, Minjoon Seo, Youngkyung Seo, Sohee Yang, Seonghyeon Ye p60626-60668 from Advances in Neural Information Processing Systems 37
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  • How do Large Language Models Handle Multilingualism?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How do Large Language Models Handle Multilingualism?

    Lidong Bing, Guizhen Chen, Kenji Kawaguchi, Wenxuan Zhang, Yiran Zhao p15296-15319 from Advances in Neural Information Processing Systems 37
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  • How do Minimum-Norm Shallow Denoisers Look in Function Space?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How do Minimum-Norm Shallow Denoisers Look in Function Space?

    Yaniv Blumenfeld, Greg Ongie, Daniel Soudry, Nir Weinberger, Chen Zeno p57520-57557 from Advances in Neural Information Processing Systems 36
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  • How do Teachers Respond to Sustained Change?

    Research In Engineering Education Network

    How do Teachers Respond to Sustained Change?

    Rodger Hadgraft, Franziska Trede, Monika Rummler p1132-1133 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • How Does Adaptive Optimization Impact Local Neural Network Geometry?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Does Adaptive Optimization Impact Local Neural Network Geometry?

    Kaiqi Jiang, Yuanzhi Li, Dhruv Malik p8305-8384 from Advances in Neural Information Processing Systems 36
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  • How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers

    Liangyu Huo, Xin Lu, Bing Qin, Dongliang Xu, Qing Yang, Yanyan Zhao p87411-87437 from Advances in Neural Information Processing Systems 37
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  • How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?

    Hong Chen, Jun Chen, Bin Gu p107745-107794 from Advances in Neural Information Processing Systems 37
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  • How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

    Michael Hanna, Ollie Liu, Alexandre Variengien p76033-76060 from Advances in Neural Information Processing Systems 36
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  • How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks

    Rong Ge, Mo Zhou p46481-46538 from Advances in Neural Information Processing Systems 37
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