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Elnaz Barshan
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2020 – today
- 2023
- [c7]Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang:
LECA: A learned approach for efficient cover-agnostic watermarking. Media Watermarking, Security, and Forensics 2023: 1-6 - 2022
- [i4]Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang:
LECA: A Learned Approach for Efficient Cover-agnostic Watermarking. CoRR abs/2206.10813 (2022) - 2020
- [c6]Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite:
RelatIF: Identifying Explanatory Training Samples via Relative Influence. AISTATS 2020: 1899-1909 - [i3]Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite:
RelatIF: Identifying Explanatory Training Examples via Relative Influence. CoRR abs/2003.11630 (2020)
2010 – 2019
- 2019
- [i2]Ousmane Amadou Dia, Elnaz Barshan, Reza Babanezhad:
Manifold Preserving Adversarial Learning. CoRR abs/1903.03905 (2019) - 2017
- [c5]M. J. Shafiee, Elnaz Barshan, Francis Li, Brendan Chwyl, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks. ICCV Workshops 2017: 979-986 - [i1]Mohammad Javad Shafiee, Elnaz Barshan, Alexander Wong:
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks. CoRR abs/1704.02081 (2017) - 2015
- [c4]Elnaz Barshan, Paul W. Fieguth, Alexander Wong:
Scalable multi-neighborhood learning for convolutional networks. MLSP 2015: 1-6 - [c3]Elnaz Barshan, Paul W. Fieguth:
Stage-wise Training: An Improved Feature Learning Strategy for Deep Models. FE@NIPS 2015: 49-59 - 2014
- [c2]Elnaz Barshan, Paul W. Fieguth:
Scalable learning for restricted Boltzmann machines. ICIP 2014: 2754-2758 - 2011
- [j1]Elnaz Barshan, Ali Ghodsi, Zohreh Azimifar, Mansoor Zolghadri Jahromi
:
Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds. Pattern Recognit. 44(7): 1357-1371 (2011)
2000 – 2009
- 2009
- [c1]Elnaz Barshan, Mina Behravan, Zohreh Azimifar:
Learning an Efficient Texture Model by Supervised Nonlinear Dimensionality Reduction Methods. CIARP 2009: 209-216
Coauthor Index
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