| 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 | 413* | 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 | 93 | 2012 |
| 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 | 50 | 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 | 49 | 2011 |
| Invisible backdoor attacks on deep neural networks via steganography and regularization S Li, M Xue, B Zhao, H Zhu, X Zhang IEEE Transactions on Dependable and Secure Computing, 2020 | 47 | 2020 |
| 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 | 47 | 2017 |
| On solving systems of fuzzy matrix equation A Sadeghi, ME Abbasnejad, MI Ahmad Far East Journal of Applied Mathematics 59 (1), 31-44, 2011 | 45 | 2011 |
| A note on solving the fuzzy Sylvester matrix equation, journal of computational analysis and applications A Sadeghi, MI Ahmad, A Ahmad, ME Abbasnejad | 43 | 2013 |
| Symbolic variable elimination for discrete and continuous graphical models S Sanner, E Abbasnejad Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 43 | 2012 |
| 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 | 40 | 2016 |
| Reflection, Refraction, and Hamiltonian Monte Carlo. HM Afshar, J Domke NIPS, 3007-3015, 2015 | 40 | 2015 |
| 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 | 39 | 2013 |
| 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 | 38* | 2017 |
| 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 | 34 | 2012 |
| 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 | 28 | 2016 |
| 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 | 26 | 2020 |
| 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 | 24 | 2020 |
| 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 | 22 | 2020 |
| 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 | 21 | 2020 |
| 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 | 20 | 2019 |
