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No Fine-Tuning, No Cry: Robust SVD for Compressing Deep Networks.

, , , и . Sensors, 21 (16): 5599 (2021)

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Mohamed Nabil Alaa El-Din

Nour Alaaraj

Alaa Derwiysh

Alaa Fahmy

Alaa Abdellah

 

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No Fine-Tuning, No Cry: Robust SVD for Compressing Deep Networks., , , и . Sensors, 21 (16): 5599 (2021)Coresets for Data Discretization and Sine Wave Fitting., , , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 10622-10639. PMLR, (2022)Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions., , и . NeurIPS, (2022)Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition., , , , и . CoRR, (2021)A Unified Approach to Coreset Learning., , , , и . IEEE Trans. Neural Networks Learn. Syst., 35 (5): 6893-6905 (мая 2024)MDL-BOOST: Constructing Efficient Machine/Deep Learning Systems via Data and Model Compression.. University of Haifa, Israel, (2022)Provably Approximated Point Cloud Registration., , , и . ICCV, стр. 13249-13258. IEEE, (2021)Deep Learning meets Projective Clustering., , , и . ICLR, OpenReview.net, (2021)Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models., , , , , , , и . ICRA, стр. 6687-6694. IEEE, (2024)Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models., , , , , , , и . CoRR, (2023)