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Deep Neural Network Perception Models and Robust Autonomous Driving Systems., , , , и . CoRR, (2020)A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning., , и . CoRR, (2020)Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers., , , , и . CoRR, (2022)SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles., , и . CVPR Workshops, стр. 103-111. Computer Vision Foundation / IEEE, (2019)Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction., , , , , , и . Expert Syst. Appl., (2024)High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments., , , , и . AAAI, стр. 15745-15751. AAAI Press, (2023)MAPLE: Microprocessor A Priori for Latency Estimation., , и . CVPR Workshops, стр. 2746-2755. IEEE, (2022)MAPLE-Edge: A Runtime Latency Predictor for Edge Devices., , , и . CVPR Workshops, стр. 3659-3667. IEEE, (2022)SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles., , , , и . CVPR Workshops, стр. 95-98. Computer Vision Foundation / IEEE, (2019)CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection., , , , , и . CRV, стр. 219-223. IEEE, (2022)