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István Fehérvári
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Journal Articles
- 2010
- [j1]István Fehérvári, Wilfried Elmenreich:
Evolving Neural Network Controllers for a Team of Self-Organizing Robots. J. Robotics 2010: 841286:1-841286:10 (2010)
Conference and Workshop Papers
- 2022
- [c9]Prarthana Bhattacharyya, Chenge Li, Xiaonan Zhao, István Fehérvári, Jason Sun:
Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime. ICASSP 2022: 3453-3457 - [c8]Chenge Li, István Fehérvári, Xiaonan Zhao, Ives Macêdo, Srikar Appalaraju:
SeeTek: Very Large-Scale Open-set Logo Recognition with Text-Aware Metric Learning. WACV 2022: 587-596 - 2019
- [c7]István Fehérvári, Srikar Appalaraju:
Scalable Logo Recognition Using Proxies. WACV 2019: 715-725 - 2013
- [c6]István Fehérvári, Vito Trianni, Wilfried Elmenreich:
On the effects of the robot configuration on evolving coordinated motion behaviors. IEEE Congress on Evolutionary Computation 2013: 1209-1216 - [c5]István Fehérvári, Wilfried Elmenreich:
Evolution as a Tool to Design Self-organizing Systems. IWSOS 2013: 139-144 - [c4]István Fehérvári, Anita Sobe, Wilfried Elmenreich:
Biologically Sound Neural Networks for Embedded Systems Using OpenCL. NETYS 2013: 248-252 - 2012
- [c3]Anita Sobe, István Fehérvári, Wilfried Elmenreich:
FREVO: A Tool for Evolving and Evaluating Self-Organizing Systems. SASO Workshops 2012: 105-110 - 2011
- [c2]Wilfried Elmenreich, István Fehérvári:
Evolving Self-organizing Cellular Automata Based on Neural Network Genotypes. IWSOS 2011: 16-25 - 2009
- [c1]István Fehérvári, Wilfried Elmenreich:
Evolutionary Methods in Self-organizing System Design. GEM 2009: 10-15
Informal and Other Publications
- 2024
- [i7]Kai Luo, Tianshu Shen, Lan Yao, Ga Wu, Aaron Liblong, István Fehérvári, Ruijian An, Jawad Ahmed, Harshit Mishra, Charu Pujari:
Within-basket Recommendation via Neural Pattern Associator. CoRR abs/2401.16433 (2024) - 2022
- [i6]Prarthana Bhattacharyya, Chenge Li, Xiaonan Zhao, István Fehérvári, Jason Sun:
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime. CoRR abs/2201.08951 (2022) - 2020
- [i5]Maryna Karpusha, Sunghee Yun, István Fehérvári:
Calibrated neighborhood aware confidence measure for deep metric learning. CoRR abs/2006.04935 (2020) - [i4]István Fehérvári, Ives Macêdo:
Adaptive additive classification-based loss for deep metric learning. CoRR abs/2006.14693 (2020) - [i3]Srikar Appalaraju, Yi Zhu, Yusheng Xie, István Fehérvári:
Towards Good Practices in Self-supervised Representation Learning. CoRR abs/2012.00868 (2020) - 2019
- [i2]István Fehérvári, Avinash Ravichandran, Srikar Appalaraju:
Unbiased Evaluation of Deep Metric Learning Algorithms. CoRR abs/1911.12528 (2019) - 2018
- [i1]István Fehérvári, Srikar Appalaraju:
Scalable Logo Recognition using Proxies. CoRR abs/1811.08009 (2018)
Coauthor Index
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