| "Why Should I Trust You?": Explaining the Predictions of Any Classifier MT Ribeiro, S Singh, C Guestrin Knowledge Discovery and Data Mining (KDD), 2016 | 4529 | 2016 |
| Anchors: High-precision model-agnostic explanations MT Ribeiro, S Singh, C Guestrin Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 507 | 2018 |
| Factorie: Probabilistic programming via imperatively defined factor graphs A McCallum, K Schultz, S Singh Advances in Neural Information Processing Systems 22, 1249-1257, 2009 | 276 | 2009 |
| Model-Agnostic Interpretability of Machine Learning MT Ribeiro, S Singh, C Guestrin ICML 2016 Workshop on Human Interpretability in Machine Learning, 2016 | 271 | 2016 |
| Generating Natural Adversarial Examples Z Zhao, D Dua, S Singh International Conference on Learning Representations (ICLR), 2018 | 247 | 2018 |
| Injecting logical background knowledge into embeddings for relation extraction T Rocktäschel, S Singh, S Riedel Proceedings of the 2015 Human Language Technology Conference of the North …, 2015 | 187 | 2015 |
| Semantically Equivalent Adversarial Rules for Debugging NLP Models MT Ribeiro, S Singh, C Guestrin Annual Meeting of the Association for Computational Linguistics (ACL), 2018 | 183 | 2018 |
| Design challenges for entity linking X Ling, S Singh, DS Weld Transactions of the Association for Computational Linguistics 3, 315-328, 2015 | 160 | 2015 |
| Large-scale cross-document coreference using distributed inference and hierarchical models S Singh, A Subramanya, F Pereira, A McCallum Association for Computational Linguistics: Human Language Technologies (ACL HLT), 2011 | 160 | 2011 |
| DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs D Dua, Y Wang, P Dasigi, G Stanovsky, S Singh, M Gardner Annual Conference of the North American Chapter of the Association for …, 2019 | 149 | 2019 |
| Entity linking via joint encoding of types, descriptions, and context N Gupta, S Singh, D Roth Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 116 | 2017 |
| Universal Adversarial Triggers for Attacking and Analyzing NLP E Wallace, S Feng, N Kandpal, M Gardner, S Singh Empirical Methods in Natural Language Processing (EMNLP), 2019 | 110 | 2019 |
| Knowledge enhanced contextual word representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... arXiv preprint arXiv:1909.04164, 2019 | 108 | 2019 |
| Wikilinks: A large-scale cross-document coreference corpus labeled via links to Wikipedia S Singh, A Subramanya, F Pereira, A McCallum University of Massachusetts, Amherst, Tech. Rep. UM-CS-2012 15, 2012 | 106 | 2012 |
| Joint Inference of Entities, Relations, and Coreference S Singh, S Riedel, B Martin, J Zheng, A McCallum CIKM Workshop on Automated Knowledge Base Construction (AKBC) 2013, 2013 | 96 | 2013 |
| A Discriminative Hierarchical Model for Fast Coreference at Large Scale M Wick, S Singh, A McCallum Association of Computational Linguists (ACL), 2012 | 76 | 2012 |
| Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling RL Logan IV, NF Liu, ME Peters, M Gardner, S Singh Proceedings of the 2019 Conference of the Association for Computational …, 2019 | 63 | 2019 |
| Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods D Slack, S Hilgard, E Jia, S Singh, H Lakkaraju Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 180-186, 2020 | 61* | 2020 |
| Low-Dimensional Embeddings of Logic T Rocktäschel, M Bosnjak, S Singh, S Riedel ACL Workshop on Semantic Parsing (SP 14), 2014 | 61 | 2014 |
| On approximate reasoning capabilities of low-rank vector spaces G Bouchard, S Singh, T Trouillon AAAI Spring Syposium on Knowledge Representation and Reasoning (KRR …, 2015 | 57 | 2015 |
Carlos GuestrinAmazon Professor of Machine Learning, University of WashingtonVerified email at cs.washington.edu
