Yoshitomo Matsubara
Cited by
Cited by
COVIDLies: Detecting COVID-19 Misinformation on Social Media
T Hossain, RL Logan IV, A Ugarte, Y Matsubara, S Singh, S Young
Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Y Matsubara, M Levorato, F Restuccia
ACM Computing Surveys 55 (5), 90:1-90:30, 2022
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems
Y Matsubara, S Baidya, D Callegaro, M Levorato, S Singh
Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and …, 2019
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems
Y Matsubara, D Callegaro, S Baidya, M Levorato, S Singh
IEEE Access 8, 212177-212193, 2020
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks
Y Matsubara, M Levorato
2020 25th International Conference on Pattern Recognition (ICPR), 2272-2279, 2020
Supervised Compression for Resource-Constrained Edge Computing Systems
Y Matsubara, R Yang, M Levorato, S Mandt
IEEE/CVF Winter Conference on Applications of Computer Vision, 2685-2695, 2021
Reranking for Efficient Transformer-based Answer Selection
Y Matsubara, T Vu, A Moschitti
Proceedings of the 43th international ACM SIGIR conference on research and …, 2020
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing
Y Matsubara, D Callegaro, S Singh, M Levorato, F Restuccia
2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and …, 2022
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation
Y Matsubara
Reproducible Research in Pattern Recognition: Third International Workshop …, 2021
Split Computing for Complex Object Detectors: Challenges and Preliminary Results
Y Matsubara, M Levorato
Proceedings of the 4th International Workshop on Embedded and Mobile Deep …, 2020
SC2 Benchmark: Supervised Compression for Split Computing
Y Matsubara, R Yang, M Levorato, S Mandt
Transactions on Machine Learning Research, 2023
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Y Matsubara, N Chiba, R Igarashi, Y Ushiku
Journal of Data-centric Machine Learning Research, 2024
Keyboard Dependency of Personal Identification Performance by Keystroke Dynamics in Free Text Typing
Y Matsubara, T Samura, H Nishimura
Journal of Information Security 6 (03), 229, 2015
Robustness of Keystroke Dynamics against Changing in Input and Recognition Conditions for Japanese Atypical Text
Y Matsubara, T Samura, H Nishimura
Proceedings of 2012 International Symposium on Technology for Sustainability …, 2012
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
Y Matsubara, L Soldaini, E Lind, A Moschitti
Findings of the Association for Computational Linguistics: EMNLP 2022, 7259-7272, 2022
SRSD: Rethinking Datasets of Symbolic Regression for Scientific Discovery
Y Matsubara, N Chiba, R Igarashi, Y Ushiku
NeurIPS 2022 AI for Science: Progress and Promises, 2022
Optimal Task Allocation for Time-Varying Edge Computing Systems with Split DNNs
D Callegaro, Y Matsubara, M Levorato
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
Citations Beyond Self Citations: Identifying Authors, Affiliations, and Nationalities in Scientific Papers
Y Matsubara, S Singh
Proceedings of the 8th International Workshop on Mining Scientific …, 2020
Screen Unlocking by Spontaneous Flick Reactions with One-Class Classification Approaches
Y Matsubara, H Nishimura, T Samura, H Yoshimoto, R Tanimoto
2016 15th IEEE International Conference on Machine Learning and Applications …, 2016
Performance Assessment in Keystroke Dynamics by Combined Profile Documents for Free Text Typing
T Samura, Y Matsubara, H Nishimura
The SICE Annual Conference 2013, 265-270, 2013
The system can't perform the operation now. Try again later.
Articles 1–20