Leman Akoglu
15 papers · 2014–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze
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Keyword Champion
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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Research topics
Machine Learning
(11)
Core Methods
(9)
Deep Learning
(6)
Architectures
(5)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Learning Types
(4)
Core AI
(2)
Learning Paradigms
(2)
Models
(2)
Techniques
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Keywords
graph neural network
(5)
anomaly detection
(3)
outlier detection
(3)
hyperparameter optimization
(2)
model selection
(2)
message passing
(2)
deep learning
(1)
ensemble learning
(1)
point cloud analysis
(1)
weisfeiler-lehman test
(1)
graph generation
(1)
markov chain monte carlo
(1)
robust statistics
(1)
mutual information
(1)
nearest neighbor
(1)
information retrieval
(1)
label noise
(1)
random walk kernels
(1)
transfer learning
(1)
semi-supervised learning
(1)
Papers
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
ACL 2026
Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights
ACL 2026
Unified Discrete Diffusion for Categorical Data
JMLR 2025
HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection
AutoML 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
NeurIPS 2024
A Practical, Progressively-Expressive GNN
NeurIPS 2022
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection
NeurIPS 2022
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
ICLR 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
NeurIPS 2022
Anomaly Mining - Past, Present and Future
IJCAI 2021
Automatic Unsupervised Outlier Model Selection
NeurIPS 2021
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
NeurIPS 2020
PairNorm: Tackling Oversmoothing in GNNs
ICLR 2020
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
NeurIPS 2019
ConnotationWordNet: Learning Connotation over the Word+Sense Network
ACL 2014