Yoshitomo Matsubara
- Papers
- 8
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Authored papers
8A Multi-task Supervised Compression Model for Split Computing
arXiv 2025
torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP
arXiv 2023
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing
arXiv 2022
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
arXiv 2022
SC2 Benchmark: Supervised Compression for Split Computing
arXiv 2022
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
arXiv 2022
Supervised Compression for Resource-Constrained Edge Computing Systems
arXiv 2021
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks
arXiv 2020
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