Irina Higgins

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

Irina Higgins, Löıc Matthey, Arka Pal et al. · International Conference on Learning Representations · 2017 · 3.1K citations

Artificial Intelligence, Engineering, Machine Learning +18

Towards a Definition of Disentangled Representations

Irina Higgins, David Amos, David Pfau et al. · arXiv (Cornell University) · 2018 · 294 citations · Full text

Artificial Intelligence, Geometric Learning, Engineering +21

Understanding disentangling in $\beta$-VAE

Christopher Burgess, Irina Higgins, Arka Pal et al. · arXiv (Cornell University) · 2018 · 280 citations · Full text

Understanding disentangling in $β$-VAE

Christopher Burgess, Irina Higgins, Arka Pal et al. · arXiv (Cornell University) · 2018 · 276 citations · Full text

Quantum Science, Engineering, Machine Learning +10

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Jack W. Rae, Sebastian Borgeaud, Trevor Cai et al. · arXiv (Cornell University) · 2021 · 242 citations · Full text

Artificial Intelligence, Llm Fine-tuning, Engineering +19