Ehsan Abbasnejad
Ehsan Abbasnejad
Australian Institute for Machine Learning, University of Adelaide
Verified email at - Homepage
Cited by
Cited by
Infinite Variational Autoencoder for Semi-Supervised Learning
E Abbasnejad, A Dick, A van den Hengel
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu …, 2017
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
Low-rank linear cold-start recommendation from social data
S Sedhain, A Menon, S Sanner, L Xie, D Braziunas
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
A survey of the state of the art in learning the kernels
ME Abbasnejad, D Ramachandram, R Mandava
Knowledge and information systems 31 (2), 193-221, 2012
The common solution of the pair of fuzzy matrix equations
A Sadeghi, S Abbasbandy, ME Abbasnejad
World Applied Sciences 15 (2), 232-238, 2011
Reflection, Refraction, and Hamiltonian Monte Carlo.
HM Afshar, J Domke
NIPS, 3007-3015, 2015
Symbolic variable elimination for discrete and continuous graphical models
S Sanner, E Abbasnejad
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
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
On solving systems of fuzzy matrix equation
A Sadeghi, ME Abbasnejad, MI Ahmad
Far East Journal of Applied Mathematics 59 (1), 31-44, 2011
Februus: Input purification defense against trojan attacks on deep neural network systems
BG Doan, E Abbasnejad, DC Ranasinghe
Annual Computer Security Applications Conference, 897-912, 2020
Distribution based workload modelling of continuous queries in clouds
A Khoshkbarforoushha, R Ranjan, R Gaire, E Abbasnejad, L Wang, ...
IEEE Transactions on Emerging Topics in Computing 5 (1), 120-133, 2016
A note on solving the fuzzy Sylvester matrix equation, journal of computational analysis and applications
A Sadeghi, MI Ahmad, A Ahmad, ME Abbasnejad
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
On the value of out-of-distribution testing: An example of goodhart's law
D Teney, K Kafle, R Shrestha, E Abbasnejad, C Kanan, A Hengel
arXiv preprint arXiv:2005.09241, 2020
Learning community-based preferences via dirichlet process mixtures of gaussian processes
E Abbasnejad, S Sanner, EV Bonilla, P Poupart
Twenty-third international joint conference on artificial intelligence, 2013
Symbolic dynamic programming for continuous state and action mdps
Z Zamani, S Sanner, C Fang
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2012
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
Joint probabilistic matching using m-best solutions
S Hamid Rezatofighi, A Milan, Z Zhang, Q Shi, A Dick, I Reid
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Reinforcement learning with attention that works: A self-supervised approach
A Manchin, E Abbasnejad, A van den Hengel
International Conference on Neural Information Processing, 223-230, 2019
Adaptive neuro-surrogate-based optimisation method for wave energy converters placement optimisation
M Neshat, E Abbasnejad, Q Shi, B Alexander, M Wagner
International Conference on Neural Information Processing, 353-366, 2019
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