Marcus Bishop

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 7

Top Topics

Invariant Representations

Metric Learning

Margin Maximization

Top Venues

EMNLP/IJCNLP (1)

Publications

Rafael A. Rivera Soto, Kailin Koch, Aleem Khan, Barry Y. Chen, Marcus Bishop, Nicholas Andrews
Few-Shot Detection of Machine-Generated Text using Style Representations. CoRR (2024)
Andrew Wang, Cristina Aggazzotti, Rebecca Kotula, Rafael A. Rivera Soto, Marcus Bishop, Nicholas Andrews
Can Authorship Representation Learning Capture Stylistic Features? CoRR (2023)
Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews
A Deep Metric Learning Approach to Account Linking. NAACL-HLT (2021)
Rafael A. Rivera Soto, Olivia Elizabeth Miano, Juanita Ordonez, Barry Y. Chen, Aleem Khan, Marcus Bishop, Nicholas Andrews
Learning Universal Authorship Representations. EMNLP (1) (2021)
Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews
A Deep Metric Learning Approach to Account Linking. CoRR (2021)
Nicholas Andrews, Marcus Bishop
Learning Invariant Representations of Social Media Users. CoRR (2019)
Nicholas Andrews, Marcus Bishop
Learning Invariant Representations of Social Media Users. EMNLP/IJCNLP (1) (2019)
Marcus Bishop, J. Matthew Douglass, Götz Pfeiffer, Gerhard Röhrle
Computations for Coxeter arrangements and Solomon's descent algebra: Groups of rank three and four. J. Symb. Comput. 50 (2013)