Johannes Fürnkranz
10 papers · 2002–2019 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (20)
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Topic Pioneer
🧭
Keyword Pioneer
📈
Trend Setter
💎
Century Club · Bronze
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The Questioner
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(5)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Architectures
(2)
Generation
(2)
Methods
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Applications · Natural Language Processing
(1)
Applications · Data Science & Analytics
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Keywords
multi-label classification
(2)
preference-based reinforcement learning
(2)
neural machine translation
(1)
text summarization
(1)
policy learning
(1)
exploration exploitation
(1)
multi-class classification
(1)
label prediction
(1)
greedy selection
(1)
rule learning
(1)
recurrent neural network
(1)
reward shaping
(1)
trajectory feedback
(1)
monte carlo method
(1)
label dependency
(1)
model-free learning
(1)
q-value estimation
(1)
pairwise classification
(1)
classifier chain
(1)
translation quality
(1)
Papers
Learning Analogy-Preserving Sentence Embeddings for Answer Selection
CoNLL 2019
Learning Context-dependent Label Permutations for Multi-label Classification
ICML 2019
Which Scores to Predict in Sentence Regression for Text Summarization?
NAACL 2018
A Survey of Preference-Based Reinforcement Learning Methods
JMLR 2017
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
NeurIPS 2017
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization
CoNLL 2016
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization
COLING 2016
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation
COLING 2016
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning
ACML 2013
Round Robin Classification
JMLR 2002