Igor Labutov

35 papers A* 9A 1B 6C 1Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2021 J jnl
Automatic Concept Extraction for Domain and Student Modeling in Adaptive Textbooks.
Int. J. Artif. Intell. Educ.
Hung Chau, Igor Labutov, Khushboo Thaker, Daqing He, Peter Brusilovsky
2020 J jnl
An agent for learning new natural language commands.
Auton. Agents Multi Agent Syst.
Amos Azaria, Shashank Srivastava, Jayant Krishnamurthy, Igor Labutov, Tom M. Mitchell
2019 — conf
Learning to Ask for Conversational Machine Learning.
EMNLP/IJCNLP (1)
Shashank Srivastava, Igor Labutov, Tom M. Mitchell
2019 J jnl
Learning to Learn Semantic Parsers from Natural Language Supervision.
CoRR
Igor Labutov, Bishan Yang, Tom M. Mitchell
2019 — conf
Look-up and Adapt: A One-shot Semantic Parser.
EMNLP/IJCNLP (1)
Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell
2019 J jnl
Look-up and Adapt: A One-shot Semantic Parser.
CoRR
Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell
2019 J jnl
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds.
CoRR
Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria
2018 B conf
APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions.
VL/HCC
Toby Jia-Jun Li, Igor Labutov, Xiaohan Nancy Li, Xiaoyi Zhang, Wenze Shi, Wanling Ding, Tom M. Mitchell, Brad A. Myers
2018 — conf
LIA: A Natural Language Programmable Personal Assistant.
EMNLP (Demonstration)
Igor Labutov, Shashank Srivastava, Tom M. Mitchell
2018 A* conf
Learning to Learn Semantic Parsers from Natural Language Supervision.
EMNLP
Igor Labutov, Bishan Yang, Tom M. Mitchell
2018 — conf
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds.
ACL (1)
Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria
2018 — ch.
Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents.
Studies in Conversational UX Design
Toby Jia-Jun Li, Igor Labutov, Brad A. Myers, Amos Azaria, Alexander I. Rudnicky, Tom M. Mitchell
2018 — conf
Zero-shot Learning of Classifiers from Natural Language Quantification.
ACL (1)
Shashank Srivastava, Igor Labutov, Tom M. Mitchell
2017 A* conf
JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading.
AAAI
Igor Labutov, Christoph Studer
2017 A* conf
Joint Concept Learning and Semantic Parsing from Natural Language Explanations.
EMNLP
Shashank Srivastava, Igor Labutov, Tom M. Mitchell
2017 A* conf
Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites.
KDD
Igor Labutov, Yun Huang, Peter Brusilovsky, Daqing He
2016 B conf
A Queueing Network Model for Spaced Repetition.
L@S
Siddharth Reddy, Igor Labutov, Siddhartha Banerjee
2016 B conf
Calibrated Self-Assessment.
EDM
Igor Labutov, Christoph Studer
2016 J jnl
Latent Skill Embedding for Personalized Lesson Sequence Recommendation.
CoRR
Siddharth Reddy, Igor Labutov, Thorsten Joachims
2016 B conf
Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation.
L@S
Siddharth Reddy, Igor Labutov, Thorsten Joachims
2016 A* conf
Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design.
KDD
Igor Labutov, Frans Schalekamp, Kelvin Luu, Hod Lipson, Christoph Studer
2016 B conf
Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design.
L@S
Igor Labutov, Kelvin Luu, Hod Lipson, Christoph Studer
2016 A* conf
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition.
KDD
Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims
2016 J jnl
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition.
CoRR
Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims
2016 B conf
Web as a textbook: Curating Targeted Learning Paths through the Heterogeneous Learning Resources on the Web.
EDM
Igor Labutov, Hod Lipson
2015 — conf
Deep Questions without Deep Understanding.
ACL (1)
Igor Labutov, Sumit Basu, Lucy Vanderwende
2015 A* conf
Evaluation methods for unsupervised word embeddings.
EMNLP
Tobias Schnabel, Igor Labutov, David M. Mimno, Thorsten Joachims
2014 — conf
Generating Code-switched Text for Lexical Learning.
ACL (1)
Igor Labutov, Hod Lipson
2013 J jnl
Generating near-spherical range panoramas by fusing optical flow and stereo from a single-camera folded catadioptric rig.
Mach. Vis. Appl.
Igor Labutov, Carlos Jaramillo, Jizhong Xiao
2013 — conf
Re-embedding words.
ACL (2)
Igor Labutov, Hod Lipson
2012 — conf
Humor as Circuits in Semantic Networks.
ACL (2)
Igor Labutov, Hod Lipson
2011 A* conf
Fusing optical flow and stereo in a spherical depth panorama using a single-camera folded catadioptric rig.
ICRA
Igor Labutov, Carlos Jaramillo, Jizhong Xiao
2010 A conf
Design and calibration of single-camera catadioptric omnistereo system for miniature aerial vehicles (MAVs).
IROS
Ling Guo, Igor Labutov, Jizhong Xiao
2009 A* conf
Learning to stabilize the head of a quadrupedal robot with an artificial vestibular system.
ICRA
Marek Marcinkiewicz, Ravi Kaushik, Igor Labutov, Simon Parsons, Theodore Raphan
2008 C conf
Combinning linear vestibulo-ocular and opto-kinetic reflex in a humanoid robot.
ICARCV
Igor Labutov, Ravi Kaushik, Marek Marcinkiewicz, Jizhong Xiao, Simon Parsons, Theodore Raphan