Relational representation learning for dynamic (knowledge) graphs: A survey SM Kazemi, R Goel, K Jain, I Kobyzev, A Sethi, P Forsyth, P Poupart arXiv preprint arXiv:1905.11485 12, 2019 | 582* | 2019 |
Time2vec: Learning a vector representation of time SM Kazemi, R Goel, S Eghbali, J Ramanan, J Sahota, S Thakur, S Wu, ... arXiv preprint arXiv:1907.05321, 2019 | 472 | 2019 |
Diachronic embedding for temporal knowledge graph completion R Goel, SM Kazemi, M Brubaker, P Poupart Proceedings of the AAAI conference on artificial intelligence 34 (04), 3988-3995, 2020 | 403 | 2020 |
Data-efficient reinforcement learning with self-predictive representations M Schwarzer, A Anand, R Goel, RD Hjelm, A Courville, P Bachman arXiv preprint arXiv:2007.05929, 2020 | 352 | 2020 |
Data-efficient reinforcement learning with momentum predictive representations M Schwarzer, A Anand, R Goel, RD Hjelm, A Courville, P Bachman arXiv preprint arXiv:2007.05929 2 (3), 2020 | 46 | 2020 |
Ddxplus: A new dataset for automatic medical diagnosis A Fansi Tchango, R Goel, Z Wen, J Martel, J Ghosn Advances in neural information processing systems 35, 31306-31318, 2022 | 42 | 2022 |
Out-of-sample representation learning for knowledge graphs M Albooyeh, R Goel, SM Kazemi Findings of the Association for Computational Linguistics: EMNLP 2020, 2657-2666, 2020 | 34* | 2020 |
Towards trustworthy automatic diagnosis systems by emulating doctors' reasoning with deep reinforcement learning A Fansi Tchango, R Goel, J Martel, Z Wen, G Marceau Caron, J Ghosn Advances in Neural Information Processing Systems 35, 24502-24515, 2022 | 12 | 2022 |
Static prediction of runtime errors by learning to execute programs with external resource descriptions D Bieber, R Goel, D Zheng, H Larochelle, D Tarlow arXiv preprint arXiv:2203.03771, 2022 | 12 | 2022 |
Fast retinomorphic event-driven representations for video gameplay and action recognition H Chen, W Liu, R Goel, RC Lua, S Mittal, Y Huang, A Veeraraghavan, ... IEEE Transactions on Computational Imaging 6, 276-290, 2019 | 7* | 2019 |
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs M Papachristou, R Goel, F Portman, M Miller, R Jin arXiv preprint arXiv:2211.00550, 2022 | 2 | 2022 |
Fast Retinomorphic Event-Driven Representations for Video Recognition and Reinforcement Learning W Liu, H Chen, R Goel, Y Huang, A Veeraraghavan, A Patel arXiv, 2018 | 1 | 2018 |
System and method for diachronic machine learning architecture SM Kazemi, G Rishab US Patent 11,694,115, 2023 | | 2023 |
System and method for time-dependent machine learning architecture JM Ramanan, J Sahota, G Rishab, S Eghbali, SM Kazemi US Patent App. 16/746,866, 2020 | | 2020 |