Spectral Cross-Domain Neural Network with Soft-adaptive ... - HAL

Spectral Cross-Domain Neural Network with Soft-adaptive ... - HAL

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 36, NO. 3, MARCH 2025 temporal-difference (TD) learning risked instability [19].

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 Self-organizing neural networks integrating domain knowledge and ...

Self-organizing neural networks integrating domain knowledge and ...

2020. Deep neural networks motivated by partial differential equations. Journal of Math- ematical Imaging and Vision, 62(3): 352?364.

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 Training of Physical Neural Networks | HAL

Training of Physical Neural Networks | HAL

Abstract?This work investigates the problem of efficiently learning discriminative low-dimensional (LD) representations.

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 Continual lifelong learning with neural networks - Universität Hamburg

Continual lifelong learning with neural networks - Universität Hamburg

SUBMITTED TO IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. XX, NO. XX, XXXX 2022. 1. Spectral Cross-Domain Neural Network with. Soft-adaptive ...

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 Deep learning in neural networks: An overview

Deep learning in neural networks: An overview

? Help train deeper network for better result. Dong Wang, Junbo Zhang, et al. When Will You Arrive Estimating Travel Time Based on Deep Neural Networks. AAAI ...

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 A feature-enhanced knowledge graph neural network for machine ...

A feature-enhanced knowledge graph neural network for machine ...

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 1. Self-Organizing Neural Networks Integrating. Domain Knowledge and Reinforcement Learning. Teck-Hou ...

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 Recent Trends in Deep Learning for Conversational AI - SciSpace

Recent Trends in Deep Learning for Conversational AI - SciSpace

Abstract?In this article, we address two key challenges in deep reinforcement learning (DRL) setting, sample inefficiency.

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 Finite-Time Analysis of Adaptive Temporal Difference Learning with ...

Finite-Time Analysis of Adaptive Temporal Difference Learning with ...

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 29, NO. 6, JUNE 2018. Optimal and Autonomous Control Using. Reinforcement Learning: A Survey.

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 Discontinuous Neural Networks for Finite-Time Solution of Time ...

Discontinuous Neural Networks for Finite-Time Solution of Time ...

Abstract?Federated learning aims to facilitate collaborative training among multiple clients with data heterogeneity in a.

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 TD-SSCD: A Novel Network by Fusing Temporal and Differential ...

TD-SSCD: A Novel Network by Fusing Temporal and Differential ...

?Remote-sensing image segmentation based on implicit. 3-d scene representation,? IEEE Geoscience and Re- mote Sensing Letters, vol. 19, pp. 1 ...

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