Tijl De Bie
12 papers · 2006–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
ποΈ
Keyword Collector
(62)
π
Trend Setter
π
Century Club Β· Bronze
β
The Questioner
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(9)
Artificial Intelligence
(5)
Application Areas
(4)
Core AI
(4)
Optimization & Theory
(3)
Deep Learning
(2)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Learning Types
(2)
Optimization
(2)
Reasoning
(2)
Computer Science
(1)
Applications
(1)
Keywords
link prediction
(2)
network embedding
(2)
representation learning
(1)
hierarchical classification
(1)
semi-supervised learning
(1)
algorithmic fairness
(1)
semidefinite programming
(1)
ai safety
(1)
convex relaxation
(1)
optimal transport
(1)
named entity recognition
(1)
multi-label classification
(1)
unsupervised feature learning
(1)
hierarchical clustering
(1)
taxonomy construction
(1)
binary classification
(1)
automatic differentiation
(1)
nearest neighbor
(1)
stochastic gradient descent
(1)
dimensionality reduction
(1)
Papers
Building Data-Driven Occupation Taxonomies: A Bottom-Up Multi-Stage Approach via Semantic Clustering and Multi-Agent Collaboration
EMNLP 2025
Human-AI Moral Judgment Congruence on Real-World Scenarios: A Cross-Lingual Analysis
EMNLP 2025
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
NeurIPS 2024
fairret: a Framework for Differentiable Fairness Regularization Terms
ICLR 2024
Optimal Transport of Classifiers to Fairness
NeurIPS 2022
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?
AISTATS 2022
Topologically Regularized Data Embeddings
ICLR 2022
DeBayes: a Bayesian Method for Debiasing Network Embeddings
ICML 2020
Mining Topological Structure in Graphs through Forest Representations
JMLR 2020
Conditional Network Embeddings
ICLR 2019
Magic Moments for Structured Output Prediction
JMLR 2008
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems
JMLR 2006