Sameer Singh

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Carlos GuestrinAmazon Professor of Machine Learning, University of WashingtonVerified email at cs.washington.edu
Marco Tulio RibeiroMicrosoft ResearchVerified email at cs.washington.edu
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Matt GardnerAllen Institute for Artificial IntelligenceVerified email at allenai.org
Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchVerified email at cs.ucl.ac.uk
Tim RocktäschelAssociate Professor at University College London, Research Scientist at Facebook AI ResearchVerified email at cs.ucl.ac.uk
Dheeru DuaUniversity of California, IrvineVerified email at uci.edu
Robert L Logan IVUC IrvineVerified email at uci.edu
Eric WallaceUC BerkeleyVerified email at berkeley.edu
Michael WickUniversity of MassachusettsVerified email at cs.umass.edu
Zhengli ZhaoPh.D. in Computer ScienceVerified email at google.com
Karl SchultzUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Nitish GuptaResearch Scientist, Google AIVerified email at google.com
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Pouya PezeshkpourUniversity of California, IrvineVerified email at uci.edu
Dylan SlackUC IrvineVerified email at uci.edu
Himabindu LakkarajuAssistant Professor, Harvard UniversityVerified email at seas.harvard.edu
Shi FengUniversity of Maryland, College ParkVerified email at cs.umd.edu
Fernando PereiraVP and Engineering Fellow, GoogleVerified email at google.com
Amarnag SubramanyaSenior Research Scientist, Google ResearchVerified email at google.com

Sameer Singh

University of California, Irvine

Verified email at uci.edu - Homepage

Interpretability and Robustness Information Extraction Natural Language Processing Machine Learning


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"Why Should I Trust You?": Explaining the Predictions of Any Classifier MT Ribeiro, S Singh, C Guestrin Knowledge Discovery and Data Mining (KDD), 2016	6083	2016
Anchors: High-precision model-agnostic explanations MT Ribeiro, S Singh, C Guestrin Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	746	2018
Model-Agnostic Interpretability of Machine Learning MT Ribeiro, S Singh, C Guestrin ICML 2016 Workshop on Human Interpretability in Machine Learning, 2016	393	2016
Generating Natural Adversarial Examples Z Zhao, D Dua, S Singh International Conference on Learning Representations (ICLR), 2018	318	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	283	2009
Semantically Equivalent Adversarial Rules for Debugging NLP Models MT Ribeiro, S Singh, C Guestrin Annual Meeting of the Association for Computational Linguistics (ACL), 2018	235	2018
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	223	2019
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	210	2015
Knowledge enhanced contextual word representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... arXiv preprint arXiv:1909.04164, 2019	202	2019
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	183	2019
Design challenges for entity linking X Ling, S Singh, DS Weld Transactions of the Association for Computational Linguistics 3, 315-328, 2015	177	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	164	2011
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList MT Ribeiro, T Wu, C Guestrin, S Singh arXiv preprint arXiv:2005.04118, 2020	149	2020
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	138	2017
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	129*	2020
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	117	2012
Evaluating models’ local decision boundaries via contrast sets M Gardner, Y Artzi, V Basmov, J Berant, B Bogin, S Chen, P Dasigi, D Dua, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020	114	2020
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	101	2013
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	85	2019
A Discriminative Hierarchical Model for Fast Coreference at Large Scale M Wick, S Singh, A McCallum Association of Computational Linguists (ACL), 2012	80	2012

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