Automatic arguments construction -from search engine to research engine
- Dan Gutfreund
- Yoav Katz
- et al.
- 2016
- AAAI-FS 2016
Dan Gutfreund
Overview
Title
Principal Research Staff Member, Manager, AI Models Science
Location
IBM Research - Cambridge
Cambridge, MA USA
Bio
I am a principal investigator at the MIT-IBM Watson AI Lab, focusing on machine common sense, embodied AI, generative models, and video understanding.
Before I moved to the Cambridge Research Lab I worked at the Haifa Research Lab where I held several managerial and technical leadership positions. In my last role I was the manager in charge of IBM Project Debater.
In 2005 I received a PhD in computer science from the Hebrew Univerity in Jerusalem, Israel. Following that I was a postdoctoral fellow and a lecturer at Harvard University and MIT. My research interests are in machine learning with applications to machine common sense, natural language processing and computer vision. In the past I worked on problems in computational complexity and foundations of cryptography.
Publications
Boosting conditional probability estimators
- Dan Gutfreund
- Aryeh Kontorovich
- et al.
- 2015
- Ann. Math. Artif. Intell.
Claims on demand – an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora
- Ehud Aharoni
- Carlos Alzate
- et al.
- 2014
- COLING 2014
A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics
- Ehud Aharoni
- Anatoly Polnarov
- et al.
- 2014
- ACL 2014
Exploiting label dependencies for improved sample complexity
- Lena Chekina
- Dan Gutfreund
- et al.
- 2012
- Machine Learning
Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds
- B. Aydinliog̃lu
- Dan Gutfreund
- et al.
- 2011
- Computational Complexity
Derandomizing Arthur-Merlin games and approximate counting implies exponential-size lower bounds
- Dan Gutfreund
- Akinori Kawachi
- 2010
- CCC 2010
Patents
- US
- 11915121
- US
- 11663443
- US
- 11586829
- US
- 11195024
- US
- 11113471
- US
- 10438121
- US
- 10013470
- US
- 10013482
- US
- 9753916
- US
- 9632998
Blog posts
IBM, MIT and Harvard release “Common Sense AI” dataset at ICML 2021
ReleaseDan Gutfreund, Abhishek Bhandwaldar, and Chuang Gan6 minute readMIT and IBM announce ThreeDWorld Transport Challenge for physically realistic Embodied AI
ReleaseChuang Gan, Abhishek Bhandwaldar, and Dan Gutfreund7 minute read
