Elke Rundensteiner
9 papers · 2020–2026 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver
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The Questioner
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Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(5)
Artificial Intelligence
(4)
Application Areas
(4)
Optimization & Theory
(4)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types · Machine Learning
(3)
Natural Language Processing
(2)
Applications
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Healthcare & Medicine
(1)
Architectures
(1)
Clinical
(1)
Keywords
training dynamics
(2)
knowledge amalgamation
(2)
neural tangent kernel
(2)
transfer learning
(2)
statistical inference
(1)
multi-label classification
(1)
semi-supervised learning
(1)
knowledge transfer
(1)
self-attention mechanism
(1)
knowledge distillation
(1)
data augmentation
(1)
named entity recognition
(1)
attention mechanism
(1)
deep learning theory
(1)
joint learning
(1)
model merging
(1)
human attention
(1)
bias correction
(1)
propensity score
(1)
text classification
(1)
Papers
Neural Tangent Kernels Under Stochastic Data Augmentation
AAAI 2026
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training
AAAI 2025
Amalgamating Multi-Task Models with Heterogeneous Architectures
AAAI 2024
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer
AAAI 2023
AudiFace: Multimodal Deep Learning for Depression Screening
MLHC 2022
Recovering the Propensity Score from Biased Positive Unlabeled Data
AAAI 2022
A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events
EMNLP 2020
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?
ACL 2020
Time-Aware Transformer-based Network for Clinical Notes Series Prediction
MLHC 2020