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Published in November 1998   Authors Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner Abstract Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. Given an appropriate network architecture, gradient-based learning algorithms can…

Published in January 2016   Authors B. Shahriari, K. Swersky, Z. Wang, R. P. Adams, and N. de Freitas Abstract Big Data applications are typically associated with systems involving large numbers of users, massive complex software systems, and large-scale heterogeneous computing and…

Published in Jan 2021   Authors F. Zhuang et al. Abstract Transfer learning aims at improving the performance of target learners on target domains by transferring the knowledge contained in different but related source domains. In this way, the dependence on a…

Published in July 2021   Authors H. Tataria, M. Shafi, A. F. Molisch, M. Dohler, H. Sjöland, and F Tufvesson Abstract Mobile communications have been undergoing a generational change every ten years or so. However, the time difference between the so-called "G's"…

Published in March 2021   Authors W. Samek, G. Montavon, S. Lapuschkin, C. J. Anders, and K.-R. Müller Abstract With the broader and highly successful usage of machine learning (ML) in industry and the sciences, there has been a growing demand for explainable artificial…

Published in August 2019   Authors Z. Zhou, X. Chen, E. Li, L. Zeng, K. Luo, and J. Zhang Abstract With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications and services, spanning from personal assistant…

Authors L. Ruff, J. R. Kauffmann, R. A. Vandermeulen, G. Montavon, W. Samek, M. Kloft, T. G. Dietterich, and K.-R. Müller Abstract Deep learning approaches to anomaly detection (AD) have recently improved the state of the art in detection performance on complex data…

Published in September 2016   Authors Yulong Zou, Jia Zhu, Xianbin Wang, and Lajos Hanzo Abstract Due to the broadcast nature of radio propagation, the wireless air interface is open and accessible to both authorized and illegitimate users. This completely differs from a wired…

Published in December 2017   Authors Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, and Joel S. Emer Abstract Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on…