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Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method

, , , , and . (2023)cite arxiv:2305.08960.

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A Learning Algorithm for Real-Time Service in Vehicular Networks with Mobile-Edge Computing., , , , , and . ICC, page 1-6. IEEE, (2019)Revealing structure components of the retina by deep learning networks., , , and . CoRR, (2017)Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera., , and . AAAI, page 350-358. AAAI Press, (2023)Multi-Armed Bandit Learning for Computation-Intensive Services in MEC-Empowered Vehicular Networks., , , , , , and . IEEE Trans. Veh. Technol., 69 (7): 7821-7834 (2020)Learning Optical Flow from Continuous Spike Streams., , , , , and . NeurIPS, (2022)Complementary Intrinsics from Neural Radiance Fields and CNNs for Outdoor Scene Relighting., , , , , , and . CVPR, page 16600-16609. IEEE, (2023)Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks., , and . IEEE Trans. Neural Networks Learn. Syst., 29 (11): 5761-5766 (2018)Promote of cooperation in networked multiagent system based on fitness control., , , , and . Appl. Math. Comput., (2018)Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies., , , , , , , and . NeurIPS, (2023)Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks., , , , , , , , and . IEEE Trans. Cybern., 52 (1): 39-50 (2022)