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Large-scale quantum machine learning

Aug 02, 2021
Tobias Haug, Chris N. Self, M. S. Kim

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Real-time Prediction of Segmentation Quality

Jun 16, 2018
Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya Valindria, Mihir Sanghvi, Nay Aung, José Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan Piechnik, Stefan Neubauer, Steffen Petersen, Chris Page, Daniel Rueckert, Ben Glocker

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Asynchronous Federated Learning for Sensor Data with Concept Drift

Sep 01, 2021
Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala

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DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode

Sep 05, 2021
Nadia Daoudi, Jordan Samhi, Abdoul Kader Kabore, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein

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Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning

Sep 01, 2021
Sean M. Hendryx, Dharma Raj KC, Bradley Walls, Clayton T. Morrison

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Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Jul 13, 2021
Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne-Laure Boulesteix, Difan Deng, Marius Lindauer

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Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO)

Apr 15, 2021
Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit

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A new semi-supervised inductive transfer learning framework: Co-Transfer

Aug 21, 2021
Zhe Yuan, Yimin Wen

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Continual learning under domain transfer with sparse synaptic bursting

Aug 26, 2021
Shawn L. Beaulieu, Jeff Clune, Nick Cheney

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Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation

Sep 13, 2021
Nan Wu, Huake He, Yuan Xie, Pan Li, Cong Hao

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