Igor Labutov

According to our database, Igor Labutov authored at least 31 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Automatic Concept Extraction for Domain and Student Modeling in Adaptive Textbooks.

Hung Chau, Igor Labutov, Khushboo Thaker, Daqing He, Peter Brusilovsky

Int. J. Artif. Intell. Educ., 2021

2020

An agent for learning new natural language commands.

Amos Azaria, Shashank Srivastava, Jayant Krishnamurthy, Igor Labutov, Tom M. Mitchell

Auton. Agents Multi Agent Syst., 2020

2019

Learning to Ask for Conversational Machine Learning.

Shashank Srivastava, Igor Labutov, Tom M. Mitchell

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Look-up and Adapt: A One-shot Semantic Parser.

Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents.

Toby Jia-Jun Li, Igor Labutov, Brad A. Myers, Amos Azaria, Alexander I. Rudnicky, Tom M. Mitchell

Proceedings of the Studies in Conversational UX Design, 2018

APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions.

Toby Jia-Jun Li, Igor Labutov, Xiaohan Nancy Li, Xiaoyi Zhang, Wenze Shi, Wanling Ding, Tom M. Mitchell, Brad A. Myers

Proceedings of the 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, 2018

Learning to Learn Semantic Parsers from Natural Language Supervision.

Igor Labutov, Bishan Yang, Tom M. Mitchell

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

LIA: A Natural Language Programmable Personal Assistant.

Igor Labutov, Shashank Srivastava, Tom M. Mitchell

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds.

Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Zero-shot Learning of Classifiers from Natural Language Quantification.

Shashank Srivastava, Igor Labutov, Tom M. Mitchell

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites.

Igor Labutov, Yun Huang, Peter Brusilovsky, Daqing He

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Joint Concept Learning and Semantic Parsing from Natural Language Explanations.

Shashank Srivastava, Igor Labutov, Tom M. Mitchell

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading.

Igor Labutov, Christoph Studer

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Latent Skill Embedding for Personalized Lesson Sequence Recommendation.

Siddharth Reddy, Igor Labutov, Thorsten Joachims

CoRR, 2016

Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation.

Siddharth Reddy, Igor Labutov, Thorsten Joachims

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

A Queueing Network Model for Spaced Repetition.

Siddharth Reddy, Igor Labutov, Siddhartha Banerjee

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design.

Igor Labutov, Kelvin Luu, Hod Lipson, Christoph Studer

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Unbounded Human Learning: Optimal Scheduling for Spaced Repetition.

Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design.

Igor Labutov, Frans Schalekamp, Kelvin Luu, Hod Lipson, Christoph Studer

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Calibrated Self-Assessment.

Igor Labutov, Christoph Studer

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Web as a textbook: Curating Targeted Learning Paths through the Heterogeneous Learning Resources on the Web.

Igor Labutov, Hod Lipson

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Evaluation methods for unsupervised word embeddings.

Tobias Schnabel, Igor Labutov, David M. Mimno, Thorsten Joachims

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Deep Questions without Deep Understanding.

Igor Labutov, Sumit Basu, Lucy Vanderwende

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Generating Code-switched Text for Lexical Learning.

Igor Labutov, Hod Lipson

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Generating near-spherical range panoramas by fusing optical flow and stereo from a single-camera folded catadioptric rig.

Igor Labutov, Carlos Jaramillo, Jizhong Xiao

Mach. Vis. Appl., 2013

Re-embedding words.

Igor Labutov, Hod Lipson

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Humor as Circuits in Semantic Networks.

Igor Labutov, Hod Lipson

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

Fusing optical flow and stereo in a spherical depth panorama using a single-camera folded catadioptric rig.

Igor Labutov, Carlos Jaramillo, Jizhong Xiao

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Design and calibration of single-camera catadioptric omnistereo system for miniature aerial vehicles (MAVs).

Ling Guo, Igor Labutov, Jizhong Xiao

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009

Learning to stabilize the head of a quadrupedal robot with an artificial vestibular system.

Marek Marcinkiewicz, Ravi Kaushik, Igor Labutov, Simon Parsons, Theodore Raphan

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008

Combinning linear vestibulo-ocular and opto-kinetic reflex in a humanoid robot.

Igor Labutov, Ravi Kaushik, Marek Marcinkiewicz, Jizhong Xiao, Simon Parsons, Theodore Raphan

Proceedings of the 10th International Conference on Control, 2008