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Rethinking the Combined and Individual Orders of Derivative of States for Differential Recurrent Neural Networks: Deep Differential Recurrent Neural Networks., , , and . ACM Trans. Multim. Comput. Commun. Appl., 15 (3): 83:1-83:21 (2019)Contrastive Learning With Stronger Augmentations., and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (5): 5549-5560 (May 2023)Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods., and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (4): 2168-2187 (2022)Efficient semantic annotation method for indexing large personal video database., , , , , and . Multimedia Information Retrieval, page 289-296. ACM, (2006)Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting., , , and . KDD, page 987-995. ACM, (2017)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns., , and . KDD, page 2141-2149. ACM, (2017)FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER., , , , and . CVPR, page 13945-13954. IEEE, (2023)AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data., , , and . CVPR, Computer Vision Foundation / IEEE, (2019)CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces., , and . NeurIPS, page 5819-5828. (2018)E-Optimal Sensor Selection for Compressive Sensing-Based Purposes., , , , and . IEEE Trans. Big Data, 6 (1): 51-65 (2020)