Tibor Tihon

Publication Activity (10 Years)

Years Active: 2019-2021
Publications (10 Years): 4

Top Topics

Machine Learning

Explanation Based Learning

Highly Scalable

Fault Tolerance

Top Venues

Publications

Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task. AAAI (2021)
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. ICLR (2020)
Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task. CoRR (2020)
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. CoRR (2019)