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Ehsan Abbasnejad
Ehsan Abbasnejad
Australian Institute for Machine Learning, University of Adelaide
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
Februus: Input purification defense against trojan attacks on deep neural network systems
BG Doan, E Abbasnejad, DC Ranasinghe
Proceedings of the 36th Annual Computer Security Applications Conference …, 2020
2352020
A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili, LB Tjernberg, ...
Energy conversion and management 236, 114002, 2021
1432021
On the value of out-of-distribution testing: An example of goodhart's law
D Teney, E Abbasnejad, K Kafle, R Shrestha, C Kanan, ...
Advances in neural information processing systems 33, 407-417, 2020
1372020
Learning what makes a difference from counterfactual examples and gradient supervision
D Teney, E Abbasnedjad, A van den Hengel
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1222020
Counterfactual vision and language learning
E Abbasnejad, D Teney, A Parvaneh, J Shi, A Hengel
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1202020
New objective functions for social collaborative filtering
J Noel, S Sanner, KN Tran, P Christen, L Xie, EV Bonilla, E Abbasnejad, ...
Proceedings of the 21st international conference on World Wide Web, 859-868, 2012
962012
Unshuffling data for improved generalization in visual question answering
D Teney, E Abbasnejad, A van den Hengel
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
942021
Infinite variational autoencoder for semi-supervised learning
M Ehsan Abbasnejad, A Dick, A van den Hengel
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
932017
Using synthetic data to improve facial expression analysis with 3d convolutional networks
I Abbasnejad, S Sridharan, D Nguyen, S Denman, C Fookes, S Lucey
Proceedings of the IEEE International Conference on Computer Vision …, 2017
832017
Wind turbine power output prediction using a new hybrid neuro-evolutionary method
M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili, D Groppi, A Heydari, ...
Energy 229, 120617, 2021
752021
Reflection, refraction, and hamiltonian monte carlo
H Mohasel Afshar, J Domke
Advances in neural information processing systems 28, 2015
712015
Evading the simplicity bias: Training a diverse set of models discovers solutions with superior ood generalization
D Teney, E Abbasnejad, S Lucey, A Van den Hengel
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
702022
Active learning by feature mixing
A Parvaneh, E Abbasnejad, D Teney, GR Haffari, A Van Den Hengel, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
662022
Beyond question-based biases: Assessing multimodal shortcut learning in visual question answering
C Dancette, R Cadene, D Teney, M Cord
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
652021
idarts: Differentiable architecture search with stochastic implicit gradients
M Zhang, SW Su, S Pan, X Chang, EM Abbasnejad, R Haffari
International Conference on Machine Learning, 12557-12566, 2021
642021
A survey of the state of the art in learning the kernels
ME Abbasnejad, D Ramachandram, R Mandava
Knowledge and information systems 31, 193-221, 2012
642012
Symbolic variable elimination for discrete and continuous graphical models
S Sanner, E Abbasnejad
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1954-1960, 2012
592012
All labels are not created equal: Enhancing semi-supervision via label grouping and co-training
I Nassar, S Herath, E Abbasnejad, W Buntine, G Haffari
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
582021
Reinforcement learning with attention that works: A self-supervised approach
A Manchin, E Abbasnejad, A Van Den Hengel
Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019
562019
Deepsetnet: Predicting sets with deep neural networks
SH Rezatofighi, VK Bg, A Milan, E Abbasnejad, A Dick, I Reid
2017 IEEE International Conference on Computer Vision (ICCV), 5257-5266, 2017
54*2017
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