Natalia Shepeleva

According to our database, Natalia Shepeleva authored at least 7 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

The balancing principle for parameter choice in distance-regularized domain adaptation.

Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy.

Natalia Shepeleva, Werner Zellinger, Michal Lewandowski, Bernhard Moser

CoRR, 2020

Beyond federated learning: On confidentiality-critical machine learning applications in industry.

Werner Zellinger, Volkmar Wieser, Mohit Kumar, David Brunner, Natalia Shepeleva, Rafa Gálvez, Josef Langer, Lukas Fischer, Bernhard Moser

Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

2019

Optimization and deployment of CNNs at the edge: the ALOHA experience.

Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Todor P. Stefanov, Svetlana Minakova, Francesco Conti, Luca Benini, Maura Pintor, Battista Biggio, Bernhard Moser, Natalia Shepeleva, Nikos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo

Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018

Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project.

Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Maura Pintor, Battista Biggio, Oscar Ripolles, David Solans, Francesco Conti, Luca Benini, Todor P. Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos

Proceedings of the 30th International Conference on Microelectronics, 2018

ALOHA: an architectural-aware framework for deep learning at the edge.

Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Bernhard Moser, Natalia Shepeleva, Francesco Conti, Luca Benini, Oscar Ripolles, David Solans, Maura Pintor, Battista Biggio, Todor P. Stefanov, Svetlana Minakova, Nikolaos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo

Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018

2016

Towards an Understanding of Transactional Tasks.

Natalia Shepeleva, Krisztian Balog

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2016