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Yoshitomo Matsubara

A Transformer Model for Symbolic Regression towards Scientific Discovery

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Dec 13, 2023
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torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP

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Oct 26, 2023
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SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing

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Oct 12, 2023
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Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages

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May 25, 2023
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Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery

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Jun 21, 2022
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SC2: Supervised Compression for Split Computing

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Mar 16, 2022
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Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems

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Jan 15, 2022
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BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing

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Jan 07, 2022
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Supervised Compression for Resource-constrained Edge Computing Systems

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Aug 21, 2021
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Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

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Mar 08, 2021
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