Irina Higgins
9 papers · 2017–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🏆
Keyword Champion
(2)
📈
Trend Setter
🚀
Conference Pioneer
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(8)
Deep Learning
(6)
Artificial Intelligence
(5)
Learning Types
(5)
Models
(5)
Core AI
(4)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Analysis
(1)
Application Areas
(1)
Applications
(1)
Learning Paradigms
(1)
Keywords
disentangled representation
(5)
variational autoencoder
(3)
representation learning
(3)
unsupervised learning
(2)
hamiltonian dynamics
(2)
metric learning
(1)
catastrophic forgetting
(1)
deep reinforcement learning
(1)
causal reasoning
(1)
generative model
(1)
logical reasoning
(1)
model evaluation
(1)
image reconstruction
(1)
event related potentials
(1)
domain adaptation
(1)
visual concept
(1)
hyperparameter tuning
(1)
manifold learning
(1)
minimum description length
(1)
concept learning
(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
NeurIPS 2021
Disentangling by Subspace Diffusion
NeurIPS 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
NeurIPS 2018
SCAN: Learning Hierarchical Compositional Visual Concepts
ICLR 2018
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
ICML 2017