
views: 100
Sebastian Riedel
Professor
Sign in to view more

Ego Network
D-Core
Research Interests
Author Statistics
Experience
Sign in to view more
Education
Sign in to view more
Bio
I work on teaching machines how to read and reason, in the intersection of Natural Language Processing (NLP) and Machine Learning. Recently, I have been tackling these problems via forms of end-to-end differentiable program interpreters as well as adversarial regularisation. I am generally interested in deep learning, good old graphical models as well as old-school symbolic AI.
Papers181 papers
Sort
By YearBy Citation
ACL, pp.7315-7330, (2020)
empirical methods in natural language processing, pp.6397-6407, (2020)
Angela Fan, Aleksandra Piktus,Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi,Andreas Vlachos,Antoine Bordes,Sebastian Riedel
empirical methods in natural language processing, pp.7147-7161, (2020)
EMNLP 2020, (2020)
Fabio Petroni,Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne,Yacine Jernite,Vassilis Plachouras,Tim Rocktäschel,Sebastian Riedel
ICML, pp.6938-6949, (2020)
EMNLP, pp.1152-1165, (2020)
international conference on machine learning, (2020)
Errica Federico, Denoyer Ludovic, Edizel Bora,Petroni Fabio,Plachouras Vassilis,Silvestri Fabrizio,Riedel Sebastian
Monthly Notices of the Royal Astronomical Society, no. 3 (2020): 3217-3228
Varzaneh Mazyar Ghani,Riedel Sebastian
Discrete and Continuous Dynamical Systems-series B, no. 11 (2020): 0-0
Sewon Min, Jordan Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts
View All