Fréderic Godin

According to our database, Fréderic Godin authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Hedging with Market Impact.

Andrei Neagu, Fréderic Godin, Clarence Simard, Leila Kosseim

CoRR, 2024

2023

Zero-Shot Cross-Lingual Sentiment Classification under Distribution Shift: an Exploratory Study.

Maarten De Raedt, Semere Kiros Bitew, Fréderic Godin, Thomas Demeester, Chris Develder

CoRR, 2023

IDAS: Intent Discovery with Abstractive Summarization.

Maarten De Raedt, Fréderic Godin, Thomas Demeester, Chris Develder

CoRR, 2023

Linear pretraining in recurrent mixture density networks.

Hubert Normandin-Taillon, Fréderic Godin, Chun Wang

CoRR, 2023

2022

Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals.

Maarten De Raedt, Fréderic Godin, Chris Develder, Thomas Demeester

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Risk averse non-stationary multi-armed bandits.

Leo Benac, Fréderic Godin

CoRR, 2021

Bias-corrected peaks-over-threshold estimation of the CVaR.

Dylan Troop, Fréderic Godin, Jia Yuan Yu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders.

Maarten De Raedt, Fréderic Godin, Pieter Buteneers, Chris Develder, Thomas Demeester

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019

Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR.

Dylan Troop, Fréderic Godin, Jia Yuan Yu

CoRR, 2019

Using Ternary Rewards to Reason over Knowledge Graphs with Deep Reinforcement Learning.

Fréderic Godin, Anjishnu Kumar, Arpit Mittal

CoRR, 2019

Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering.

Fréderic Godin, Anjishnu Kumar, Arpit Mittal

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Dual Rectified Linear Units (DReLUs): A replacement for <i>tanh</i> activation functions in Quasi-Recurrent Neural Networks.

Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve

Pattern Recognit. Lett., 2018

SpliceRover: interpretable convolutional neural networks for improved splice site prediction.

Jasper Zuallaert, Fréderic Godin, Mijung Kim, Arne Soete, Yvan Saeys, Wesley De Neve

Bioinform., 2018

Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?

Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Predefined Sparseness in Recurrent Sequence Models.

Thomas Demeester, Johannes Deleu, Fréderic Godin, Chris Develder

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017

DReLUs: Dual Rectified Linear Units.

Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve

CoRR, 2017

Improving Language Modeling using Densely Connected Recurrent Neural Networks.

Fréderic Godin, Joni Dambre, Wesley De Neve

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

2016

A Distance-Based Approach for Semantic Dissimilarity in Knowledge Graphs.

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

Proceedings of the Tenth IEEE International Conference on Semantic Computing, 2016

Normalized Semantic Web Distance.

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

Proceedings of the Semantic Web. Latest Advances and New Domains, 2016

2015

Multimedia Lab $@$ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations.

Fréderic Godin, Baptist Vandersmissen, Wesley De Neve, Rik Van de Walle

Proceedings of the Workshop on Noisy User-generated Text, 2015

2014

Optimal hedging when the underlying asset follows a regime-switching Markov process.

Pascal François, Geneviève Gauthier, Fréderic Godin

Eur. J. Oper. Res., 2014

The Rise of Mobile Social Video: An In-depth Analysis of Vine.

Baptist Vandersmissen, Fréderic Godin, Abhineshwar Tomar, Wesley De Neve, Rik Van de Walle

Proceedings of the 1st International Workshop on Social Multimedia and Storytelling co-located with ACM International Conference on Multimedia Retrieval (ICMR 2014), 2014

Ghent University-iMinds at MediaEval 2014 Diverse Images: Adaptive Clustering with Deep Features.

Baptist Vandersmissen, Abhineshwar Tomar, Fréderic Godin, Wesley De Neve, Rik Van de Walle

Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

Towards Twitter hashtag recommendation using distributed word representations and a deep feed forward neural network.

Abhineshwar Tomar, Fréderic Godin, Baptist Vandersmissen, Wesley De Neve, Rik Van de Walle

Proceedings of the 2014 International Conference on Advances in Computing, 2014

The Normalized Freebase Distance.

Fréderic Godin, Tom De Nies, Christian Beecks, Laurens De Vocht, Wesley De Neve, Erik Mannens, Thomas Seidl, Rik Van de Walle

Proceedings of the Semantic Web: ESWC 2014 Satellite Events, 2014

2013

Towards automatic assessment of the social media impact of news content.

Tom De Nies, Gerald Haesendonck, Fréderic Godin, Wesley De Neve, Erik Mannens, Rik Van de Walle

Proceedings of the 22nd International World Wide Web Conference, 2013

Using topic models for Twitter hashtag recommendation.

Fréderic Godin, Viktor Slavkovikj, Wesley De Neve, Benjamin Schrauwen, Rik Van de Walle

Proceedings of the 22nd International World Wide Web Conference, 2013

Leveraging Existing Tools for Named Entity Recognition in Microposts.

Fréderic Godin, Pedro Debevere, Erik Mannens, Wesley De Neve, Rik Van de Walle

Proceedings of the Concept Extraction Challenge at the Workshop on 'Making Sense of Microposts', 2013

Towards fusion of collective knowledge and audio-visual content features for annotating broadcast video.

Fréderic Godin, Wesley De Neve, Rik Van de Walle

Proceedings of the International Conference on Multimedia Retrieval, 2013

Ghent University-iMinds at MediaEval 2013 Diverse Images: Relevance-Based Hierarchical Clustering.

Baptist Vandersmissen, Abhineshwar Tomar, Fréderic Godin, Wesley De Neve, Rik Van de Walle

Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013