Johannes Fürnkranz
10 papers · 2002–2019 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🏃 Academic Marathon (17) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12)
🌈
Renaissance Researcher
(6)
🗺️
Taxonomy Completionist
(22)
🧭
Keyword Pioneer
🌱
Topic Pioneer
🏆
Keyword Champion
📈
Trend Setter
❓
The Questioner
💎
Century Club
(10)
Conferences
COLING (2)
CONLL (2)
JMLR (2)
ACML (1)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
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
NIPS 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