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Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent., , , and . CoRR, (2019)G-LIME: Statistical learning for local interpretations of deep neural networks using global priors., , , , , , , and . Artif. Intell., (2023)MODES: model-based optimization on distributed embedded systems., , , , , , and . Mach. Learn., 110 (6): 1527-1547 (2021)Semi-supervised transfer learning with hierarchical self-regularization., , , , , , and . Pattern Recognit., (December 2023)Energy-Efficient Real-Time Scheduling of DAG Tasks., , , , and . ACM Trans. Embed. Comput. Syst., 17 (5): 84:1-84:25 (2018)Towards Inadequately Pre-trained Models in Transfer Learning., , , , , and . ICCV, page 19340-19351. IEEE, (2023)LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search., , , , , , , and . ECML/PKDD (6), volume 14174 of Lecture Notes in Computer Science, page 635-651. Springer, (2023)Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer., , , , , and . Mach. Learn. Sci. Technol., 5 (1): 15039 (March 2024)Towards Making Deep Transfer Learning Never Hurt., , , , and . ICDM, page 578-587. IEEE, (2019)Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization., , , , , and . MIUA, volume 14122 of Lecture Notes in Computer Science, page 147-156. Springer, (2023)