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Selective Network Linearization for Efficient Private Inference.

, , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 3947-3961. PMLR, (2022)

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Selective Network Linearization for Efficient Private Inference., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 3947-3961. PMLR, (2022)Real Time Video Adaptation in Next Generation Networks., , and . NGMAST, page 54-60. IEEE, (2010)Distributionally Robust Classification on a Data Budget., , , and . Trans. Mach. Learn. Res., (2023)Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing., , , and . CoRR, (2023)PriViT: Vision Transformers for Fast Private Inference., , , , , , and . CoRR, (2023)Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models., , , and . CVPR Workshops, page 83-87. Computer Vision Foundation / IEEE, (2019)Selective visualization of anomalies in fundus images via sparse and low rank decomposition., , , , , , and . SIGGRAPH Posters, page 109:1. ACM, (2014)Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos., , , , , , , , and . IEEE Trans. Intell. Transp. Syst., 25 (9): 11602-11616 (September 2024)Identity-Preserving Aging of Face Images via Latent Diffusion Models., , , , and . IJCB, page 1-10. IEEE, (2023)Differentiable Spline Approximations., , , , , , , , and . NeurIPS, page 20270-20282. (2021)