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Multinomial Distribution Learning for Effective Neural Architecture Search., , , , , and . ICCV, page 1304-1313. IEEE, (2019)Dynamic Distribution Pruning for Efficient Network Architecture Search., , , , , , , and . CoRR, (2019)Event-Diffusion: Event-Based Image Reconstruction and Restoration with Diffusion Models., , , , , and . ACM Multimedia, page 3837-3846. ACM, (2023)Meta Architecture for Point Cloud Analysis., , , , , , , and . CVPR, page 17682-17691. IEEE, (2023)AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration., , , , , , , , , and . ICCV, page 7082-7091. IEEE, (2023)Two-Stage Deep Learning Segmentation for Tiny Brain Regions., , , and . PRCV (13), volume 14437 of Lecture Notes in Computer Science, page 174-184. Springer, (2023)Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective., , , , , , , , and . CVPR, page 7950-7959. IEEE, (2023)A Unified Framework for Soft Threshold Pruning., , , , , and . ICLR, OpenReview.net, (2023)PAMS: Quantized Super-Resolution via Parameterized Max Scale., , , , , , , and . CoRR, (2020)CDP: Towards Optimal Filter Pruning via Class-wise Discriminative Power., , , , , , , and . ACM Multimedia, page 5491-5500. ACM, (2021)