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ORCIDFréderic Godin
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2020 – today
- 2024
[j3]Maarten De Raedt
, Fréderic Godin, Chris Develder, Thomas Demeester:
Revisiting clustering for efficient unsupervised dialogue structure induction. Appl. Intell. 54(7): 5278-5305 (2024)- [i13]Andrei Neagu, Fréderic Godin, Clarence Simard, Leila Kosseim:
Deep Hedging with Market Impact. CoRR abs/2402.13326 (2024) - 2023
- [i12]Hubert Normandin-Taillon, Fréderic Godin, Chun Wang:
Linear pretraining in recurrent mixture density networks. CoRR abs/2302.14141 (2023) - [i11]Maarten De Raedt, Fréderic Godin, Thomas Demeester, Chris Develder:
IDAS: Intent Discovery with Abstractive Summarization. CoRR abs/2305.19783 (2023) - [i10]Maarten De Raedt, Semere Kiros Bitew, Fréderic Godin, Thomas Demeester, Chris Develder:
Zero-Shot Cross-Lingual Sentiment Classification under Distribution Shift: an Exploratory Study. CoRR abs/2311.06549 (2023) - 2022
- [c19]Maarten De Raedt, Fréderic Godin, Chris Develder, Thomas Demeester:
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals. EMNLP 2022: 11386-11400 - [i9]Maarten De Raedt, Fréderic Godin, Chris Develder, Thomas Demeester:
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals. CoRR abs/2210.11805 (2022) - 2021
- [c18]Maarten De Raedt, Fréderic Godin, Pieter Buteneers, Chris Develder, Thomas Demeester:
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders. EMNLP (1) 2021: 10108-10114 - [c17]Dylan Troop, Fréderic Godin, Jia Yuan Yu:
Bias-corrected peaks-over-threshold estimation of the CVaR. UAI 2021: 1809-1818 - [i8]Maarten De Raedt, Fréderic Godin, Pieter Buteneers, Chris Develder, Thomas Demeester:
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders. CoRR abs/2104.03630 (2021) - [i7]Leo Benac, Fréderic Godin:
Risk averse non-stationary multi-armed bandits. CoRR abs/2109.13977 (2021)
2010 – 2019
- 2019
- [c16]Fréderic Godin, Anjishnu Kumar, Arpit Mittal:
Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering. NAACL-HLT (2) 2019: 122-129 - [i6]Fréderic Godin, Anjishnu Kumar, Arpit Mittal:
Using Ternary Rewards to Reason over Knowledge Graphs with Deep Reinforcement Learning. CoRR abs/1902.10236 (2019) - [i5]Dylan Troop, Fréderic Godin, Jia Yuan Yu:
Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR. CoRR abs/1912.01718 (2019) - 2018
- [j2]Jasper Zuallaert, Fréderic Godin, Mijung Kim, Arne Soete, Yvan Saeys, Wesley De Neve:
SpliceRover: interpretable convolutional neural networks for improved splice site prediction. Bioinform. 34(24): 4180-4188 (2018) - [j1]Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve:
Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks. Pattern Recognit. Lett. 116: 8-14 (2018) - [c15]Thomas Demeester, Johannes Deleu, Fréderic Godin, Chris Develder:
Predefined Sparseness in Recurrent Sequence Models. CoNLL 2018: 324-333 - [c14]Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester:
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? EMNLP 2018: 3275-3284 - [i4]Thomas Demeester, Johannes Deleu, Fréderic Godin, Chris Develder:
Predefined Sparseness in Recurrent Sequence Models. CoRR abs/1808.08720 (2018) - [i3]Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester:
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? CoRR abs/1808.09551 (2018) - 2017
- [c13]Fréderic Godin, Joni Dambre, Wesley De Neve:
Improving Language Modeling using Densely Connected Recurrent Neural Networks. Rep4NLP@ACL 2017: 186-190 - [i2]Fréderic Godin, Joni Dambre, Wesley De Neve:
Improving Language Modeling using Densely Connected Recurrent Neural Networks. CoRR abs/1707.06130 (2017) - [i1]Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve:
DReLUs: Dual Rectified Linear Units. CoRR abs/1707.08214 (2017) - 2016
- [c12]Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, Rik Van de Walle:
Normalized Semantic Web Distance. ESWC 2016: 69-84 - [c11]Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, Rik Van de Walle:
A Distance-Based Approach for Semantic Dissimilarity in Knowledge Graphs. ICSC 2016: 254-257 - 2015
- [c10]Fréderic Godin, Baptist Vandersmissen, Wesley De Neve, Rik Van de Walle:
Multimedia Lab $@$ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations. NUT@IJCNLP 2015: 146-153 - 2014
- [c9]Fréderic Godin, Tom De Nies, Christian Beecks, Laurens De Vocht, Wesley De Neve, Erik Mannens, Thomas Seidl, Rik Van de Walle:
The Normalized Freebase Distance. ESWC (Satellite Events) 2014: 218-221 - [c8]Abhineshwar Tomar, Fréderic Godin, Baptist Vandersmissen, Wesley De Neve, Rik Van de Walle:
Towards Twitter hashtag recommendation using distributed word representations and a deep feed forward neural network. ICACCI 2014: 362-368 - [c7]Baptist Vandersmissen, Abhineshwar Tomar, Fréderic Godin, Wesley De Neve, Rik Van de Walle:
Ghent University-iMinds at MediaEval 2014 Diverse Images: Adaptive Clustering with Deep Features. MediaEval 2014 - [c6]Baptist Vandersmissen, Fréderic Godin, Abhineshwar Tomar, Wesley De Neve, Rik Van de Walle:
The Rise of Mobile Social Video: An In-depth Analysis of Vine. SoMuS@ICMR 2014 - 2013
- [c5]Baptist Vandersmissen, Abhineshwar Tomar, Fréderic Godin, Wesley De Neve, Rik Van de Walle:
Ghent University-iMinds at MediaEval 2013 Diverse Images: Relevance-Based Hierarchical Clustering. MediaEval 2013 - [c4]Fréderic Godin, Wesley De Neve, Rik Van de Walle:
Towards fusion of collective knowledge and audio-visual content features for annotating broadcast video. ICMR 2013: 329-332 - [c3]Fréderic Godin, Pedro Debevere, Erik Mannens, Wesley De Neve, Rik Van de Walle:
Leveraging Existing Tools for Named Entity Recognition in Microposts. #MSM 2013: 36-39 - [c2]Fréderic Godin, Viktor Slavkovikj, Wesley De Neve, Benjamin Schrauwen, Rik Van de Walle:
Using topic models for Twitter hashtag recommendation. WWW (Companion Volume) 2013: 593-596 - [c1]Tom De Nies, Gerald Haesendonck, Fréderic Godin, Wesley De Neve, Erik Mannens, Rik Van de Walle:
Towards automatic assessment of the social media impact of news content. WWW (Companion Volume) 2013: 871-874
Coauthor Index
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