Heiner Stuckenschmidt
26 papers · 2011–2025 · 8 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (8) ๐ Interdisciplinary Bridge ๐ฃ Hot Topic Early Bird ๐งญ Keyword Pioneer ๐ Academic Marathon (14)
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Hot Topic Early Bird
๐
Interdisciplinary Bridge
๐
Conference Polyglot
(8)
๐๏ธ
Keyword Collector
(106)
โก
Prolific Year
(7)
๐
Trend Setter
๐
Century Club
(26)
๐ฅ
Unstoppable
(10)
โ
The Questioner
Conferences
IJCAI (10)
ACL (4)
COLING (3)
AAAI (2)
EMNLP (2)
ICLR (2)
NIPS (2)
IJCNLP (1)
Top co-authors
Research topics
Keywords
text classification
(4)
knowledge graph
(4)
natural language processing
(3)
link prediction
(2)
stance detection
(2)
argument mining
(2)
knowledge representation
(2)
rule learning
(2)
temporal knowledge graph
(2)
feature engineering
(2)
transfer learning
(1)
probabilistic inference
(1)
graph prediction
(1)
hyperparameter optimization
(1)
binary classification
(1)
multi-task learning
(1)
temporal reasoning
(1)
sentiment analysis
(1)
online learning
(1)
machine translation
(1)
Papers
Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
ICLR 2025
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
NIPS 2024
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
AAAI 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
NIPS 2024
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
ICLR 2024
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
IJCAI 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
IJCAI 2024
PyClause - Simple and Efficient Rule Handling for Knowledge Graphs
IJCAI 2024
Online Random Feature Forests for Learning in Varying Feature Spaces
AAAI 2023
Towards Utilitarian Online Learning -- A Review of Online Algorithms in Open Feature Space
IJCAI 2023
Effect Graph: Effect Relation Extraction for Explanation Generation
ACL 2023
Exchangeability-Aware Sum-Product Networks
IJCAI 2022
Adversarial Explanations for Knowledge Graph Embeddings
IJCAI 2022
Come hither or go away? Recognising pre-electoral coalition signals in the news
EMNLP 2021
Exploring Morality in Argumentation
COLING 2020
Predicting Modality in Financial Dialogue
COLING 2020
Knowledge Graphs meet Moral Values
COLING 2020
Unsupervised stance detection for arguments from consequences
EMNLP 2020
PRoFET: Predicting the Risk of Firms from Event Transcripts
IJCAI 2019
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion
IJCAI 2019
A Spreading Activation Framework for Tracking Conceptual Complexity of Texts
ACL 2019
Word Embeddings-Based Uncertainty Detection in Financial Disclosures
ACL 2018
Sentence Alignment Methods for Improving Text Simplification Systems
ACL 2017
Automatic Assessment of Absolute Sentence Complexity
IJCAI 2017
Group Decision Making via Probabilistic Belief Merging
IJCAI 2016
Fine-Grained Sentiment Analysis with Structural Features
IJCNLP 2011