Proceedings of the IEEE

Gradient-based Learning Applied to Document Recognition

April 10, 2023

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…

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Our New Website

December 16, 2021

We're excited to announce the launch of our new website. We've been working over the past six months to provide our readers with a more dynamic, engaging web experience. Our new site has been designed to better showcase all of the content…

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A Unifying Review of Deep and Shallow Anomaly Detection

November 30, 2021

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…

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6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities

September 23, 2021

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"…

A Unifying Review of Deep and Shallow Anomaly Detection

September 22, 2021

Published in May 2021 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…

A Comprehensive Survey on Transfer Learning

September 22, 2021

Published in January 2021 Authors F. Zhuang, Z. Qi, K. Duan, D. Xi, Y. Zhu, H. Zhu, H. Xiong, and Q. He Abstract Transfer learning aims at improving the performance of target learners on target domains by transferring the knowledge contained in different…

2020 Journal Issues

November 2020

November 1, 2020

Special Issue: Optimization for Data-Driven Learning and Control Volume 108, Issue 11 November 2020 Access the Full Issue Guest Editors Guest Editors: Usman A. Khan, Waheed U. Bajwa, Angelia Nedić, Michael G. Rabbat, and Ali H. Sayed Special Issue Papers Scanning the Issue…

2020 Journal Issues

October 2020

October 1, 2020

Special Section: Magnet-Free Nonreciprocity Volume 108, Issue 10 October 2020 Access the Full Issue Guest Editor Guest Editor: Andrea Alù Special Section Papers Scanning the Section: Magnet-Free Nonreciprocity By A. Alù Tutorial on Electromagnetic Nonreciprocity and its Origins By V. S. Asadchy, M.…

2020 Journal Issues

September 2020

September 1, 2020

Special Issue: Multienergy Systems Volume 108, Issue 9 September 2020 Access the Full Issue Guest Editors Michael ChertkovGöran Andersson Special Issue Papers Scanning the Issue By M. Chertkov and G. Andersson Integrated Electricity– Heat–Gas Systems: Techno–Economic Modeling, Optimization, and Application to Multienergy Districts By…

2020 Journal Issues

August 2020

August 1, 2020

Special Issue: Nonsilicon, Non-von Neumann Computing—Part II Volume 108, Issue 8 August 2020 Access the Full Issue Guest Editors Sankar BasuRandal E. BryantGiovanni De MicheliThomas TheisLloyd Whitman Previous Next Special Issue Papers Scanning the Issue By S. Basu, R. E. Bryant, G. De Micheli, T. Theis,…

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Gradient-based Learning Applied to Document Recognition

Our New Website

A Unifying Review of Deep and Shallow Anomaly Detection

6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities

A Unifying Review of Deep and Shallow Anomaly Detection

A Comprehensive Survey on Transfer Learning

November 2020

October 2020

September 2020

August 2020

Webinar on Affective Computing

2023 Best Paper Award Webinar, August 6, 2024

Webinar on the Evolution of Smart Grids

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