Documents publiés en "2023"

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Cacciola, M., Frangioni, A., Li, X.L., & Lodi, A. (2023). Deep neural networks pruning via the structured perspective regularization. SIAM Journal on Mathematics of Data Science, 5(4), 1051-1077. Lien externe

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Li, X., Liu, B., Yang, R. H., Courville, V., Xing, C., & Partovi Nia, V. (octobre 2023). DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization [Communication écrite]. International Conference on Computer Vision (ICCV 2023), Paris, France. Lien externe

Li, X., Parazeres, M., Oberman, A. M., Ghaffari, A., Asgharian, M., & Partovi Nia, V. (2023). EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. SN Computer Science, 4(5). Lien externe

Lu, Y., Yu, Y., Li, X., & Partovi Nia, V. (décembre 2023). Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers [Communication écrite]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA (19 pages). Lien externe