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Attention, please! A survey of Neural Attention Models in Deep Learning

, and . (2021)cite arxiv:2103.16775Comment: 66 pages, 24 figures.

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Learning over the Attentional Space with Mobile Robots., , , , , , and . ICDL-EPIROB, page 1-7. IEEE, (2020)A Framework for Learning in Humanoid Simulated Robots., , , and . RoboCup, volume 5001 of Lecture Notes in Computer Science, page 345-352. Springer, (2007)Modeling Object's Affordances via Reward Functions., and . SMC, page 2183-2190. IEEE, (2021)A comparison of deep learning-based visual odometry algorithms in challenging scenarios., , , and . SysCon, page 1-8. IEEE, (2024)EEG Motor Imagery Classification of Upper Limb Movements., , and . BIOSIGNALS, page 314-317. SciTePress, (2013)An Analysis of Feature-based and State-based Representations for Module-Based Learning in Mobile Robots., and . HIS, page 163-168. IEEE Computer Society, (2005)CIDEr-R: Robust Consensus-based Image Description Evaluation., , and . W-NUT, page 351-360. Association for Computational Linguistics, (2021)A Multiclass Object and Depth Estimation Deep Model for Humanoids Robots in a Soccer Simulated Dataset., and . LARS/SBR/WRE, page 31-36. IEEE, (2019)Parkinson's Disease EMG Signal Prediction Using Neural Networks., , and . SMC, page 2446-2453. IEEE, (2019)Attention, please! A survey of Neural Attention Models in Deep Learning, and . (2021)cite arxiv:2103.16775Comment: 66 pages, 24 figures.