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G-LIME: Statistical learning for local interpretations of deep neural networks using global priors.

, , , , , , , and . Artif. Intell., (2023)

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Millimeter Wave Channel Estimation via Exploiting Joint Sparse and Low-Rank Structures., , , and . IEEE Trans. Wirel. Commun., 17 (2): 1123-1133 (2018)Semi-supervised transfer learning with hierarchical self-regularization., , , , , , and . Pattern Recognit., (December 2023)G-LIME: Statistical learning for local interpretations of deep neural networks using global priors., , , , , , , and . Artif. Intell., (2023)A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding., , , , , and . IEEE Trans. Control. Syst. Technol., 31 (1): 235-251 (2023)Robust Cross-Modal Knowledge Distillation for Unconstrained Videos., , , , , and . CoRR, (2023)Low-Rank Covariance-Assisted Downlink Training and Channel Estimation for FDD Massive MIMO Systems., , , and . CoRR, (2016)Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources., , , , , , , and . CoRR, (2022)Towards Inadequately Pre-trained Models in Transfer Learning., , , , , and . ICCV, page 19340-19351. IEEE, (2023)Towards Making Deep Transfer Learning Never Hurt., , , , and . ICDM, page 578-587. IEEE, (2019)Adaptive Consistency Regularization for Semi-Supervised Transfer Learning., , , , and . CVPR, page 6923-6932. Computer Vision Foundation / IEEE, (2021)