| 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 | 225 | 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 | 194 | 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 | 92 | 2019 |
| 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 | 67 | 2021 |
| 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 | 66 | 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 | 62 | 2020 |
| 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 | 47 | 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 | 43 | 2022 |
| 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 | 29 | 2020 |
| torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation Y Matsubara Reproducible Research in Pattern Recognition: Third International Workshop …, 2021 | 28 | 2021 |
| SC2 Benchmark: Supervised Compression for Split Computing Y Matsubara, R Yang, M Levorato, S Mandt Transactions on Machine Learning Research, 2023 | 20* | 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 | 17 | 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 | 10 | 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 | 8 | 2012 |
| Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages S Gupta, Y Matsubara, A Chadha, A Moschitti Findings of the Association for Computational Linguistics: ACL 2023, 14078-14092, 2023 | 6 | 2023 |
| 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 | 6 | 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 | 6 | 2020 |
| 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 | 5 | 2022 |
| 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 | 5 | 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 | 4 | 2016 |
Marco LevoratoComputer Science Department, UC IrvineVerified email at uci.edu
