| Universal Transformers M Dehghani, S Gouws, O Vinyals, J Uszkoreit, Ł Kaiser International Conference on Learning Representations (ICLR), 2019 | 258 | 2019 |
| Neural Ranking Models with Weak Supervision M Dehghani, H Zamani, A Severyn, J Kamps, WB Croft The 40th International ACM SIGIR Conference on Research and Development in …, 2017 | 242 | 2017 |
| From neural re-ranking to neural ranking: Learning a sparse representation for inverted indexing H Zamani, M Dehghani, WB Croft, E Learned-Miller, J Kamps Proceedings of the 27th ACM international conference on information and …, 2018 | 74 | 2018 |
| An image is worth 16x16 words: Transformers for image recognition at scale A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ... arXiv preprint arXiv:2010.11929, 2020 | 65 | 2020 |
| Learning to Attend, Copy, and Generate for Session-Based Query Suggestion M Dehghani, S Rothe, E Alfonseca, P Fleury International Conference on Information and Knowledge Management (CIKM'17), 2017 | 53 | 2017 |
| Fidelity-Weighted Learning M Dehghani, A Mehrjou, S Gouws, J Kamps, B Schölkopf International Conference on Learning Representations (ICLR2018), https …, 2018 | 38 | 2018 |
| Learning to Learn from Weak Supervision by Full Supervision M Dehghani, A Severyn, S Rothe, J Kamps NIPS2017 workshop on Meta-Learning (MetaLearn 2017), 2017 | 36 | 2017 |
| Time-aware authorship attribution for short text streams H Azarbonyad, M Dehghani, M Marx, J Kamps Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 31 | 2015 |
| Avoiding your teacher's mistakes: Training neural networks with controlled weak supervision M Dehghani, A Severyn, S Rothe, J Kamps arXiv preprint arXiv:1711.00313, 2017 | 30 | 2017 |
| Luhn revisited: Significant words language models M Dehghani, H Azarbonyad, J Kamps, D Hiemstra, M Marx Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 26 | 2016 |
| A learning approach for email conversation thread reconstruction M Dehghani, A Shakery, M Asadpour, A Koushkestani Journal of Information Science 39 (6), 846-863, 2013 | 24 | 2013 |
| Words are Malleable: Computing Semantic Shifts in Political and Media Discourse H Azarbonyad, M Dehghani, K Beelen, A Arkut, M Marx, K Jaap International Conference on Information and Knowledge Management (CIKM'17), 2017 | 23 | 2017 |
| Efficient transformers: A survey Y Tay, M Dehghani, D Bahri, D Metzler arXiv preprint arXiv:2009.06732, 2020 | 22 | 2020 |
| Neural Networks for Information Retrieval T Kenter, A Borisov, C Van Gysel, M Dehghani, M de Rijke, B Mitra Tutorial at the 40th International ACM SIGIR Conference on Research and …, 2017 | 21 | 2017 |
| Metnet: A neural weather model for precipitation forecasting CK Sønderby, L Espeholt, J Heek, M Dehghani, A Oliver, T Salimans, ... arXiv preprint arXiv:2003.12140, 2020 | 20 | 2020 |
| Entity linking by focusing DBpedia candidate entities A Olieman, H Azarbonyad, M Dehghani, J Kamps, M Marx Proceedings of the first international workshop on Entity recognition …, 2014 | 18 | 2014 |
| Learning to transform, combine, and reason in open-domain question answering M Dehghani, H Azarbonyad, J Kamps, M de Rijke Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 15 | 2019 |
| Sources of evidence for automatic indexing of political texts M Dehghani, H Azarbonyad, M Marx, J Kamps European Conference on Information Retrieval, 568-573, 2015 | 13 | 2015 |
| Expert finding by the Dempster‐Shafer theory for evidence combination N Torkzadeh Mahani, M Dehghani, MS Mirian, A Shakery, K Taheri Expert Systems, 2017 | 12 | 2017 |
| An evolutionary-based method for reconstructing conversation threads in email corpora M Dehghani, M Asadpour, A Shakery 2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012 | 12 | 2012 |
Jaap KampsUniversity of AmsterdamVerified email at uva.nl
