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Ivermectin vs Placebo for the Treatment of Patients With Mild to Moderate COVID-19

. Clinical Trial NCT04429711 at ClinicalTrials.gov, (2020)

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UNIQ: Uniform Noise Injection for the Quantization of Neural Networks., , , , , , and . CoRR, (2018)MetAdapt: Meta-learned task-adaptive architecture for few-shot classification., , , , , , and . Pattern Recognit. Lett., (2021)DeepISP: Toward Learning an End-to-End Image Processing Pipeline., , and . IEEE Trans. Image Process., 28 (2): 912-923 (2019)Fine-grained Angular Contrastive Learning with Coarse Labels., , , , , , and . CoRR, (2020)RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection., , , , , , , and . CVPR, page 5197-5206. Computer Vision Foundation / IEEE, (2019)Unsupervised Domain Generalization by Learning a Bridge Across Domains., , , , , , , , , and 4 other author(s). CVPR, page 5270-5280. IEEE, (2022)Favorable outcome on viral load and culture viability using Ivermectin in early treatment of non-hospitalized patients with mild COVID-19, A double-blind, randomized placebo-controlled trial., , , , , , , , , and . (May 2021)PIP: Positional-encoding Image Prior., , and . CoRR, (2022)MAEDAY: MAE for few and zero shot AnomalY-Detection., , , , , , and . CoRR, (2022)StarNet: towards weakly supervised few-shot detection and explainable few-shot classification., , , , , , , , , and 1 other author(s). CoRR, (2020)