Elnaz Barshan

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 7

Top Topics

Training Examples

Environmental Information

Top Venues

Publications

Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang
LECA: A learned approach for efficient cover-agnostic watermarking. Media Watermarking, Security, and Forensics (2023)
Xiyang Luo, Michael Goebel, Elnaz Barshan, Feng Yang
LECA: A Learned Approach for Efficient Cover-agnostic Watermarking. CoRR (2022)
Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite
RelatIF: Identifying Explanatory Training Samples via Relative Influence. AISTATS (2020)
Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite
RelatIF: Identifying Explanatory Training Examples via Relative Influence. CoRR (2020)
Ousmane Amadou Dia, Elnaz Barshan, Reza Babanezhad
Manifold Preserving Adversarial Learning. CoRR (2019)
Mohammad Javad Shafiee, Elnaz Barshan, Alexander Wong
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks. CoRR (2017)
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)
Elnaz Barshan, Paul W. Fieguth
Stage-wise Training: An Improved Feature Learning Strategy for Deep Models. FE@NIPS (2015)
Elnaz Barshan, Paul W. Fieguth, Alexander Wong
Scalable multi-neighborhood learning for convolutional networks. MLSP (2015)
Elnaz Barshan, Paul W. Fieguth
Scalable learning for restricted Boltzmann machines. ICIP (2014)
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) (2011)
Elnaz Barshan, Mina Behravan, Zohreh Azimifar
Learning an Efficient Texture Model by Supervised Nonlinear Dimensionality Reduction Methods. CIARP (2009)