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TAN Without a Burn: Scaling Laws of DP-SGD.

, , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 29937-29949. PMLR, (2023)

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LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference., , , , , , и . ICCV, стр. 12239-12249. IEEE, (2021)Efficiency and Redundancy in Deep Learning Models: Theoretical Considerations and Practical Applications. (Efficience et redondance dans les modèles d'apprentissage profond : considérations théoriques et applications pratiques).. École normale supérieure de Lyon, France, (2021)Low Bandwidth Video-Chat Compression using Deep Generative Models., , , , , , , , , и 2 other автор(ы). CoRR, (2020)Mixtral of Experts, , , , , , , , , и 16 other автор(ы). (2024)Training with Quantization Noise for Extreme Model Compression, , , , , , и . (2020)cite arxiv:2004.07320.Mistral 7B., , , , , , , , , и 8 other автор(ы). CoRR, (2023)EXACT: Extensive Attack for Split Learning., , , , и . CoRR, (2023)Equi-normalization of Neural Networks., , , и . ICLR (Poster), OpenReview.net, (2019)Low Bandwidth Video-Chat Compression Using Deep Generative Models., , , , , , , , , и 1 other автор(ы). CVPR Workshops, стр. 2388-2397. Computer Vision Foundation / IEEE, (2021)Training with Quantization Noise for Extreme Model Compression., , , , , , и . ICLR, OpenReview.net, (2021)