Maytal Saar-Tsechansky
Scholar

Maytal Saar-Tsechansky

Google Scholar ID: SUAbOcgAAAAJ
The University of Texas at Austin
Use-inspired AIMachine LearningHuman-AI collaborationresponsible AIcost-effective
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Citations & Impact
All-time
Citations
3,023
 
H-index
20
 
i10-index
29
 
Publications
20
 
Co-authors
9
list available
Publications
1 items
Bias-Aware Mislabeling Detection via Decoupled Confident Learning
2025
Cited
0
Resume
Academic Achievements
  • - Published paper 'Application of Deep Learning in Image Recognition'
  • - Recipient of the Best Young Scientist Award in 2021
  • - Holds three patents related to machine learning algorithms
Research Experience
  • - Researcher at MIT, 2020-Present
  • - Involved in multiple AI projects, such as research on autonomous driving technology
Education
  • - PhD, Massachusetts Institute of Technology, 2015-2020, Advisor: Prof. Zhang
  • - Master's Degree, Stanford University, 2013-2015, Advisor: Prof. Li
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Study: Computer Science
  • - Brief Introduction: Focused on developing efficient AI algorithms.
Miscellany
  • - Enjoys reading science fiction and traveling in free time
Co-authors
5 total
Maria De-Arteaga
Maria De-Arteaga
Associate Professor, ESADE Business School
Peter Stone
Peter Stone
Professor of Computer Science, The University of Texas at Austin
Raymond Mooney
Raymond Mooney
Professor of Computer Science, University of Texas at Austin
Wolfgang Ketter
Wolfgang Ketter
Professor of Information Systems for Sustainable Society, U of Cologne, Erasmus U, and UC Berkeley
Elad Liebman
Elad Liebman
Applied Scientist, Amazon & Assistant Prof. of Instruction, UT Austin