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Supervised contrastive learning with corrected labels for noisy label learning., , , and . Appl. Intell., 53 (23): 29378-29392 (December 2023)Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs., , , , and . COLING, page 151-160. ACL, (2016)Empirical study on variational inference methods for topic models., , , and . J. Exp. Theor. Artif. Intell., 30 (1): 129-142 (2018)The Application of Unmanned Aerial Vehicle Remote Sensing in Quickly Monitoring Crop Pests., , , and . Intell. Autom. Soft Comput., 18 (8): 1043-1052 (2012)Prediction of Nitrogen Content in Apple Leaves Based on Continuous Wavelet Transform., , , , , , , and . IGARSS, page 1841-1844. IEEE, (2019)Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling., , , and . IJCAI, page 2404-2410. ijcai.org, (2018)Accelerating Update of Variable Precision Multigranulation Approximations While Adding Granular Structures., and . Inf., 13 (11): 541 (2022)Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions., , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Speckle noise reduction for medical ultrasound images based on cycle-consistent generative adversarial network., , , , , , and . Biomed. Signal Process. Control., 86 (Part A): 105150 (September 2023)Filtering out the noise in short text topic modeling., , , , , and . Inf. Sci., (2018)