Elnaz Barshan

According to our database, Elnaz Barshan authored at least 11 papers between 2009 and 2023.

Collaborative distances:

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

2023

LECA: A learned approach for efficient cover-agnostic watermarking.

Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang

Proceedings of the Media Watermarking, 2023

2020

RelatIF: Identifying Explanatory Training Examples via Relative Influence.

Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite

CoRR, 2020

RelatIF: Identifying Explanatory Training Samples via Relative Influence.

Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Manifold Preserving Adversarial Learning.

Ousmane Amadou Dia, Elnaz Barshan, Reza Babanezhad

CoRR, 2019

2017

Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks.

Mohammad Javad Shafiee, Elnaz Barshan, Alexander Wong

CoRR, 2017

Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks.

M. J. Shafiee, Elnaz Barshan, Francis Li, Brendan Chwyl, Michelle Karg, Christian Scharfenberger, Alexander Wong

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015

Stage-wise Training: An Improved Feature Learning Strategy for Deep Models.

Elnaz Barshan, Paul W. Fieguth

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Scalable multi-neighborhood learning for convolutional networks.

Elnaz Barshan, Paul W. Fieguth, Alexander Wong

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2014

Scalable learning for restricted Boltzmann machines.

Elnaz Barshan, Paul W. Fieguth

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2011

Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds.

Elnaz Barshan, Ali Ghodsi, Zohreh Azimifar, Mansoor Zolghadri Jahromi

Pattern Recognit., 2011

2009

Learning an Efficient Texture Model by Supervised Nonlinear Dimensionality Reduction Methods.

Elnaz Barshan, Mina Behravan, Zohreh Azimifar

Proceedings of the Progress in Pattern Recognition, 2009