Irina Higgins
DeepMind (United Kingdom)(GB)
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Neural dynamics and brain function, Domain Adaptation and Few-Shot Learning, Neural Networks and Applications, Advanced Memory and Neural Computing
Most-Cited Works
- beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework(2017)
- → Towards a Definition of Disentangled Representations(2018)294 cited
- → Understanding disentangling in $\beta$-VAE(2018)280 cited
- → Scaling Language Models: Methods, Analysis & Insights from Training Gopher(2021)242 cited
- → MONet: Unsupervised Scene Decomposition and Representation(2019)194 cited
- → Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons(2021)153 cited
- → DARLA: Improving Zero-Shot Transfer in Reinforcement Learning(2017)139 cited
- → Early Visual Concept Learning with Unsupervised Deep Learning(2016)127 cited
- → Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning(2022)110 cited