Igor Labutov - RankMe

Year	Rank	Type	Title / 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

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