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A Survey on Visual Transformer., , , , , , , , , and 3 other author(s). CoRR, (2020)SCOP: Scientific Control for Reliable Neural Network Pruning., , , , , , and . NeurIPS, (2020)ReNAS: Relativistic Evaluation of Neural Architecture Search., , , , , , and . CVPR, page 4411-4420. Computer Vision Foundation / IEEE, (2021)VEGA: Towards an End-to-End Configurable AutoML Pipeline., , , , , , , , , and 14 other author(s). CoRR, (2020)Federated Learning with Positive and Unlabeled Data., , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 13344-13355. PMLR, (2022)Positive-Unlabeled Compression on the Cloud., , , , , , and . NeurIPS, page 2561-2570. (2019)BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons., , and . NeurIPS, (2022)FDViT: Improve the Hierarchical Architecture of Vision Transformer., , , , , , and . ICCV, page 5927-5937. IEEE, (2023)Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks., , , , , , and . AAAI, page 5964-5971. AAAI Press, (2020)Towards closing the data gap: A project-driven distributed energy resource dataset for the U.S. Grid., , and . e-Energy (Companion), page 52-58. ACM, (2023)