| A hierarchical algorithm for extreme clustering A Kobren, N Monath, A Krishnamurthy, A McCallum Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 122 | 2017 |
| Paper matching with local fairness constraints A Kobren, B Saha, A McCallum Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 91 | 2019 |
| Upstream mitigation is not all you need: Testing the bias transfer hypothesis in pre-trained language models R Steed, S Panda, A Kobren, M Wick Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 88 | 2022 |
| Offline contextual bandits with high probability fairness guarantees B Metevier, S Giguere, S Brockman, A Kobren, Y Brun, E Brunskill, ... Advances in neural information processing systems 32, 2019 | 63 | 2019 |
| Getting more for less: Optimized crowdsourcing with dynamic tasks and goals A Kobren, CH Tan, P Ipeirotis, E Gabrilovich Proceedings of the 24th international conference on world wide web, 592-602, 2015 | 58 | 2015 |
| Scalable hierarchical clustering with tree grafting N Monath, A Kobren, A Krishnamurthy, MR Glass, A McCallum Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 48 | 2019 |
| Supervised hierarchical clustering with exponential linkage N Yadav, A Kobren, N Monath, A Mccallum International Conference on Machine Learning, 6973-6983, 2019 | 33 | 2019 |
| Online post-processing in rankings for fair utility maximization A Gupta, E Johnson, J Payan, AK Roy, A Kobren, S Panda, JB Tristan, ... Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 21 | 2021 |
| Optimal transport-based alignment of learned character representations for string similarity D Tam, N Monath, A Kobren, A Traylor, R Das, A McCallum arXiv preprint arXiv:1907.10165, 2019 | 19 | 2019 |
| An online hierarchical algorithm for extreme clustering A Kobren, N Monath, A Krishnamurthy, A McCallum arXiv preprint arXiv:1704.01858, 2017 | 13 | 2017 |
| Assessing confidence of knowledge base content with an experimental study in entity resolution M Wick, S Singh, A Kobren, A McCallum Proceedings of the 2013 workshop on Automated knowledge base construction, 13-18, 2013 | 12 | 2013 |
| Compact representation of uncertainty in clustering C Greenberg, N Monath, A Kobren, P Flaherty, A McGregor, A McCallum Advances in Neural Information Processing Systems 31, 2018 | 10 | 2018 |
| Gradient-based Hierarchical Clustering N Monath, A Kobren, A Krishnamurthy, A McCallum | 10 | 2017 |
| Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013. S Singh, L Yao, D Belanger, A Kobren, S Anzaroot, M Wick, A Passos, ... TAC, 2013 | 10 | 2013 |
| Constructing high precision knowledge bases with subjective and factual attributes A Kobren, P Barrio, O Yakhnenko, J Hibschman, I Langmore Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 8 | 2019 |
| Don’t just clean it, proxy clean it: Mitigating bias by proxy in pre-trained models S Panda, A Kobren, M Wick, Q Shen Findings of the Association for Computational Linguistics: EMNLP 2022, 5073-5085, 2022 | 7 | 2022 |
| Domain Specific Knowledge Base Construction via Crowdsourcing A Kobren, T Logan, S Sampangi, A McCallum | 7 | 2014 |
| Large-scale author coreference via hierarchical entity representations M Wick, A Kobren, A McCallum | 7 | 2013 |
| Integrating user feedback under identity uncertainty in knowledge base construction A Kobren, N Monath, A McCallum Automated Knowledge Base Construction (AKBC), 2019 | 6 | 2019 |
| An evaluative measure of clustering methods incorporating hyperparameter sensitivity S Mishra, N Monath, M Boratko, A Kobren, A McCallum Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7788-7796, 2022 | 5 | 2022 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts Amherstcs.umass.edu üzerinde doğrulanmış e-posta adresine sahip