Irina Higgins
9 papers · 2017–2023 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (6)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(3)
🌱
Topic Pioneer
🚀
Conference Pioneer
📈
Trend Setter
Conferences
ICLR (5)
NIPS (3)
ICML (1)
Top co-authors
Keywords
disentangled representation
(3)
representation learning
(1)
reinforcement learning
(1)
catastrophic forgetting
(1)
metric learning
(1)
manifold learning
(1)
domain adaptation
(1)
model evaluation
(1)
image reconstruction
(1)
minimum description length
(1)
variational autoencoder
(1)
lie group
(1)
zero-shot transfer
(1)
latent dynamics
(1)
domain shift
(1)
hamiltonian dynamics
(1)
disentangled representation learning
(1)
source policy
(1)
zero-shot domain adaptation
(1)
subspace diffusion
(1)
Papers
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
ICLR 2023
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
ICLR 2021
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
NIPS 2021
Disentangling by Subspace Diffusion
NIPS 2020
Hamiltonian Generative Networks
ICLR 2020
Unsupervised Model Selection for Variational Disentangled Representation Learning
ICLR 2020
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
NIPS 2018
SCAN: Learning Hierarchical Compositional Visual Concepts
ICLR 2018
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
ICML 2017