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ORCIDIgor Labutov
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2020 – today
- 2021
[j3]Hung Chau
, Igor Labutov, Khushboo Thaker, Daqing He, Peter Brusilovsky:
Automatic Concept Extraction for Domain and Student Modeling in Adaptive Textbooks. Int. J. Artif. Intell. Educ. 31(4): 820-846 (2021)- 2020
- [j2]Amos Azaria, Shashank Srivastava, Jayant Krishnamurthy, Igor Labutov, Tom M. Mitchell:
An agent for learning new natural language commands. Auton. Agents Multi Agent Syst. 34(1): 6 (2020)
2010 – 2019
- 2019
- [c26]Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell:
Look-up and Adapt: A One-shot Semantic Parser. EMNLP/IJCNLP (1) 2019: 1129-1139 - [c25]Shashank Srivastava, Igor Labutov, Tom M. Mitchell:
Learning to Ask for Conversational Machine Learning. EMNLP/IJCNLP (1) 2019: 4162-4172 - [i5]Igor Labutov, Bishan Yang, Tom M. Mitchell:
Learning to Learn Semantic Parsers from Natural Language Supervision. CoRR abs/1902.08373 (2019) - [i4]Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria:
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds. CoRR abs/1902.09093 (2019) - [i3]Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell:
Look-up and Adapt: A One-shot Semantic Parser. CoRR abs/1910.12197 (2019) - 2018
- [c24]Shashank Srivastava, Igor Labutov, Tom M. Mitchell:
Zero-shot Learning of Classifiers from Natural Language Quantification. ACL (1) 2018: 306-316 - [c23]Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria:
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds. ACL (1) 2018: 833-844 - [c22]Igor Labutov, Shashank Srivastava, Tom M. Mitchell:
LIA: A Natural Language Programmable Personal Assistant. EMNLP (Demonstration) 2018: 145-150 - [c21]Igor Labutov, Bishan Yang, Tom M. Mitchell:
Learning to Learn Semantic Parsers from Natural Language Supervision. EMNLP 2018: 1676-1690 - [c20]Toby Jia-Jun Li, Igor Labutov, Xiaohan Nancy Li, Xiaoyi Zhang, Wenze Shi, Wanling Ding, Tom M. Mitchell, Brad A. Myers:
APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions. VL/HCC 2018: 105-114 - [p1]Toby Jia-Jun Li, Igor Labutov, Brad A. Myers, Amos Azaria, Alexander I. Rudnicky, Tom M. Mitchell:
Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents. Studies in Conversational UX Design 2018: 119-137 - 2017
- [c19]Igor Labutov, Christoph Studer:
JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading. AAAI 2017: 1010-1016 - [c18]Shashank Srivastava, Igor Labutov, Tom M. Mitchell:
Joint Concept Learning and Semantic Parsing from Natural Language Explanations. EMNLP 2017: 1527-1536 - [c17]Igor Labutov, Yun Huang, Peter Brusilovsky, Daqing He:
Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites. KDD 2017: 907-915 - 2016
- [c16]Igor Labutov, Hod Lipson:
Web as a textbook: Curating Targeted Learning Paths through the Heterogeneous Learning Resources on the Web. EDM 2016: 110-118 - [c15]Igor Labutov, Christoph Studer:
Calibrated Self-Assessment. EDM 2016 - [c14]Igor Labutov, Frans Schalekamp, Kelvin Luu, Hod Lipson, Christoph Studer:
Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design. KDD 2016: 1665-1674 - [c13]Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims:
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition. KDD 2016: 1815-1824 - [c12]Siddharth Reddy, Igor Labutov, Thorsten Joachims:
Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation. L@S 2016: 93-96 - [c11]Igor Labutov, Kelvin Luu, Hod Lipson, Christoph Studer:
Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design. L@S 2016: 149-152 - [c10]Siddharth Reddy, Igor Labutov, Siddhartha Banerjee:
A Queueing Network Model for Spaced Repetition. L@S 2016: 289-292 - [i2]Siddharth Reddy, Igor Labutov, Thorsten Joachims:
Latent Skill Embedding for Personalized Lesson Sequence Recommendation. CoRR abs/1602.07029 (2016) - [i1]Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims:
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition. CoRR abs/1602.07032 (2016) - 2015
- [c9]Igor Labutov, Sumit Basu, Lucy Vanderwende:
Deep Questions without Deep Understanding. ACL (1) 2015: 889-898 - [c8]Tobias Schnabel, Igor Labutov, David M. Mimno, Thorsten Joachims:
Evaluation methods for unsupervised word embeddings. EMNLP 2015: 298-307 - 2014
- [c7]Igor Labutov, Hod Lipson:
Generating Code-switched Text for Lexical Learning. ACL (1) 2014: 562-571 - 2013
- [j1]Igor Labutov, Carlos Jaramillo, Jizhong Xiao:
Generating near-spherical range panoramas by fusing optical flow and stereo from a single-camera folded catadioptric rig. Mach. Vis. Appl. 24(1): 133-144 (2013) - [c6]Igor Labutov, Hod Lipson:
Re-embedding words. ACL (2) 2013: 489-493 - 2012
- [c5]Igor Labutov, Hod Lipson:
Humor as Circuits in Semantic Networks. ACL (2) 2012: 150-155 - 2011
- [c4]Igor Labutov, Carlos Jaramillo, Jizhong Xiao:
Fusing optical flow and stereo in a spherical depth panorama using a single-camera folded catadioptric rig. ICRA 2011: 3092-3097 - 2010
- [c3]Ling Guo, Igor Labutov, Jizhong Xiao:
Design and calibration of single-camera catadioptric omnistereo system for miniature aerial vehicles (MAVs). IROS 2010: 622-627
2000 – 2009
- 2009
- [c2]Marek Marcinkiewicz, Ravi Kaushik, Igor Labutov, Simon Parsons, Theodore Raphan:
Learning to stabilize the head of a quadrupedal robot with an artificial vestibular system. ICRA 2009: 2512-2517 - 2008
- [c1]Igor Labutov, Ravi Kaushik, Marek Marcinkiewicz, Jizhong Xiao, Simon Parsons, Theodore Raphan:
Combinning linear vestibulo-ocular and opto-kinetic reflex in a humanoid robot. ICARCV 2008: 132-137
Coauthor Index
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