Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges von Matsubara, Yoshitomo, Levorato, Marco, Restuccia, Francesco

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Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems von Matsubara, Yoshitomo, Callegaro, Davide, Baidya, Sabur, Levorato, Marco, Singh, Sameer

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torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation von Matsubara, Yoshitomo

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Profile Generation Methods for Reinforcing Robustness of Keystroke Authentication in Free Text Typing von Matsubara, Yoshitomo, Samura, Toshiharu, Nishimura, Haruhiko

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torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP von Matsubara, Yoshitomo

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Keyboard Dependency of Personal Identification Performance by Keystroke Dynamics in Free Text Typing von Matsubara, Yoshitomo, Samura, Toshiharu, Nishimura, Haruhiko

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torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation von Matsubara, Yoshitomo

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torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP von Matsubara, Yoshitomo

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A Multi-task Supervised Compression Model for Split Computing von Matsubara, Yoshitomo, Mendula, Matteo, Levorato, Marco

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Sectional meeting on the integration of libraries and information centers von MATSUBARA, Yoshitomo

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Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks von Matsubara, Yoshitomo, Levorato, Marco

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Split Computing for Complex Object Detectors: Challenges and Preliminary Results von Matsubara, Yoshitomo, Levorato, Marco

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SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing von Bahadori, Niloofar, Matsubara, Yoshitomo, Levorato, Marco, Restuccia, Francesco

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Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages von Gupta, Shivanshu, Matsubara, Yoshitomo, Chadha, Ankit, Moschitti, Alessandro

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Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges von Matsubara, Yoshitomo, Levorato, Marco, Restuccia, Francesco

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Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery von Matsubara, Yoshitomo, Chiba, Naoya, Igarashi, Ryo, Ushiku, Yoshitaka

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BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing von Matsubara, Yoshitomo, Callegaro, Davide, Singh, Sameer, Levorato, Marco, Restuccia, Francesco

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A Transformer Model for Symbolic Regression towards Scientific Discovery von Lalande, Florian, Matsubara, Yoshitomo, Chiba, Naoya, Taniai, Tatsunori, Igarashi, Ryo, Ushiku, Yoshitaka

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SC2 Benchmark: Supervised Compression for Split Computing von Matsubara, Yoshitomo, Yang, Ruihan, Levorato, Marco, Mandt, Stephan

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Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems von Matsubara, Yoshitomo, Soldaini, Luca, Lind, Eric, Moschitti, Alessandro

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