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Beyond Network Pruning: a Joint Search-and-Training Approach.

, , , , and . IJCAI, page 2583-2590. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..

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Context-based bias removal of statistical models of wavelet coefficients for image denoising., , , and . ICIP, page 3841-3844. IEEE, (2009)Learning-based recovery of compressive sensing with application in multiple description coding., , , and . MMSP, page 1-5. IEEE, (2009)Denoising Prior Driven Deep Neural Network for Image Restoration., , , , , and . CoRR, (2018)ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning., , , , and . CoRR, (2018)Bayesian based Re-parameterization for DNN Model Pruning., , , , , and . ACM Multimedia, page 1367-1375. ACM, (2022)AEDNet: Asynchronous Event Denoising with Spatial-Temporal Correlation among Irregular Data., , , , , and . ACM Multimedia, page 1427-1435. ACM, (2022)Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search., , , , , and . CoRR, (2021)Contrastive Self-Supervised Pre-Training for Video Quality Assessment., , , , and . IEEE Trans. Image Process., (2022)Searching Efficient Model-Guided Deep Network for Image Denoising., , , and . IEEE Trans. Image Process., (2023)Superresolution Image Reconstruction: Selective milestones and open problems., , , , and . IEEE Signal Process. Mag., 40 (5): 54-66 (July 2023)