| Evaluation methods for unsupervised word embeddings T Schnabel, I Labutov, D Mimno, T Joachims Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 788 | 2015 |
| Ontology-crowd-relevance deep response generation S Basu, L Vanderwende, II Labutov US Patent 10,061,848, 2018 | 207 | 2018 |
| Deep questions without deep understanding I Labutov, S Basu, L Vanderwende Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 162 | 2015 |
| Re-embedding words I Labutov, H Lipson Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 132 | 2013 |
| Joint concept learning and semantic parsing from natural language explanations S Srivastava, I Labutov, T Mitchell Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 100 | 2017 |
| Unbounded human learning: Optimal scheduling for spaced repetition S Reddy, I Labutov, S Banerjee, T Joachims Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 82 | 2016 |
| Zero-shot learning of classifiers from natural language quantification S Srivastava, I Labutov, T Mitchell Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 72 | 2018 |
| Automatic concept extraction for domain and student modeling in adaptive textbooks H Chau, I Labutov, K Thaker, D He, P Brusilovsky International Journal of Artificial Intelligence in Education 31, 820-846, 2021 | 54 | 2021 |
| Appinite: A multi-modal interface for specifying data descriptions in programming by demonstration using natural language instructions TJJ Li, I Labutov, XN Li, X Zhang, W Shi, W Ding, TM Mitchell, BA Myers 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC …, 2018 | 54 | 2018 |
| Humor as circuits in semantic networks I Labutov, H Lipson Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012 | 51 | 2012 |
| Semi-supervised techniques for mining learning outcomes and prerequisites I Labutov, Y Huang, P Brusilovsky, D He Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 42 | 2017 |
| Latent skill embedding for personalized lesson sequence recommendation S Reddy, I Labutov, T Joachims arXiv preprint arXiv:1602.07029, 2016 | 26 | 2016 |
| Computer system methods for generating combined language content I Labutov, H Lipson US Patent 10,672,293, 2020 | 21 | 2020 |
| Teaching agents when they fail: end user development in goal-oriented conversational agents TJJ Li, I Labutov, BA Myers, A Azaria, AI Rudnicky, TM Mitchell Studies in Conversational UX Design, 119-137, 2018 | 19 | 2018 |
| Learning student and content embeddings for personalized lesson sequence recommendation S Reddy, I Labutov, T Joachims Proceedings of the Third (2016) ACM Conference on Learning@ Scale, 93-96, 2016 | 19 | 2016 |
| Generating near-spherical range panoramas by fusing optical flow and stereo from a single-camera folded catadioptric rig I Labutov, C Jaramillo, J Xiao Machine vision and applications 24 (1), 133-144, 2013 | 19 | 2013 |
| Learning to learn semantic parsers from natural language supervision I Labutov, B Yang, T Mitchell arXiv preprint arXiv:1902.08373, 2019 | 18 | 2019 |
| LIA: A natural language programmable personal assistant I Labutov, S Srivastava, T Mitchell Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 17 | 2018 |
| Generating code-switched text for lexical learning I Labutov, H Lipson Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 16 | 2014 |
| Learning to stabilize the head of a quadrupedal robot with an artificial vestibular system M Marcinkiewicz, R Kaushik, I Labutov, S Parsons, T Raphan 2009 IEEE International Conference on Robotics and Automation, 2512-2517, 2009 | 15 | 2009 |
