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2020 – today
- 2024
[c9]Bastien Liétard, Pascal Denis, Mikaela Keller:
To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models. EMNLP 2024: 2684-2696- [i8]Dinh-Viet-Toan Le, Louis Bigo, Mikaela Keller, Dorien Herremans:
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey. CoRR abs/2402.17467 (2024) - [i7]Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller:
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure. CoRR abs/2405.14521 (2024) - [i6]Dinh-Viet-Toan Le, Louis Bigo, Mikaela Keller:
Analyzing Byte-Pair Encoding on Monophonic and Polyphonic Symbolic Music: A Focus on Musical Phrase Segmentation. CoRR abs/2410.01448 (2024) - 2023
- [c8]Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller:
Fair Without Leveling Down: A New Intersectional Fairness Definition. EMNLP 2023: 9018-9032 - [c7]Bastien Liétard
, Mikaela Keller, Pascal Denis:
A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models. *SEM@ACL 2023: 338-352 - [i5]Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller:
How to Capture Intersectional Fairness. CoRR abs/2305.12495 (2023) - [i4]Bastien Liétard, Mikaela Keller, Pascal Denis:
A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models. CoRR abs/2305.19143 (2023) - 2022
- [c6]Gaurav Maheshwari, Pascal Denis, Mikaela Keller, Aurélien Bellet:
Fair NLP Models with Differentially Private Text Encoders. EMNLP (Findings) 2022: 6913-6930 - [i3]Gaurav Maheshwari, Pascal Denis, Mikaela Keller, Aurélien Bellet:
Fair NLP Models with Differentially Private Text Encoders. CoRR abs/2205.06135 (2022)
2010 – 2019
- 2015
- [i2]Pauline Wauquier, Mikaela Keller:
Metric learning for graph-based label propgation. CoRR abs/1511.05789 (2015) - 2012
- [c5]Antonino Freno, Mikaela Keller, Marc Tommasi:
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. NIPS 2012: 1871-1879 - [c4]Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi:
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. UAI 2012: 265-274 - [i1]Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi:
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. CoRR abs/1210.4860 (2012) - 2010
- [j2]Wendy Webber Chapman, John N. Dowling, Atar Baer, David L. Buckeridge, Dennis Cochrane, Michael A. Conway, Peter L. Elkin, Jeremy U. Espino, Julia E. Gunn, Craig M. Hales, Lori Hutwagner, Mikaela Keller, Catherine Larson, Rebecca Noe, Anya Okhmatovskaia, Karen Olson, Marc Paladini, Matthew Scholer, Carol Sniegoski, David Thompson, Bill Lober:
Developing syndrome definitions based on consensus and current use. J. Am. Medical Informatics Assoc. 17(5): 595-601 (2010)
2000 – 2009
- 2009
- [j1]Mikaela Keller, Clark C. Freifeld, John S. Brownstein:
Automated vocabulary discovery for geo-parsing online epidemic intelligence. BMC Bioinform. 10: 385 (2009) - 2006
- [b1]Mikaela Keller:
Machine Learning Approaches to Text Representation using Unlabeled Data. (Approches d'apprentissage automatiques pour le représentation de textes à travers l'utilisation de données non-étiquetées). École Polytechnique Fédérale de Lausanne, Écublens, Vaud, Switzerland, 2006 - [c3]Oren Glickman, Ido Dagan, Walter Daelemans, Mikaela Keller, Samy Bengio:
Investigating Lexical Substitution Scoring for Subtitle Generation. CoNLL 2006: 45-52 - 2005
- [c2]Mikaela Keller, Samy Bengio:
A Neural Network for Text Representation. ICANN (2) 2005: 667-672 - [c1]Mikaela Keller, Samy Bengio, Siew Yeung Wong:
Benchmarking Non-Parametric Statistical Tests. NIPS 2005: 651-658
Coauthor Index
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