9 citations
- Centre Inria de l'Université de LilleFR2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Université de LilleFR2 papers
- Centre de Recherche en InformatiqueFR1 paper
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Data Management (Italy)IT1 paper
- Département de mathématiques et applicationsFR1 paper
- Département d'InformatiqueFR1 paper
- DYOGENE: Dynamics of Geometric NetworksFR1 paper
- École Normale Supérieure - PSLFR1 paper
- EURECOMFR1 paper
6 papers
Anaphora Resolution in Dialogue: System Description (CODI-CRAC 2022 Shared Task)
Tatiana Anikina, Natalia Skachkova, Joseph Renner +1
We describe three models submitted for the CODI-CRAC 2022 shared task. To perform identity anaphora resolution, we test several combinations of the incremental clustering approach…
tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and Evaluation
Damien Sileo
The HuggingFace Datasets Hub hosts thousands of datasets, offering exciting opportunities for language model training and evaluation. However, datasets for a specific task type oft…
Linear Programs with Conjunctive Database Queries
Florent Capelli, Nicolas Crosetti, Joachim Niehren +1
In this paper, we study the problem of optimizing a linear program whose variables are the answers to a conjunctive query. For this we propose the language LP(CQ) for specifying li…
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent
Paul Mangold, Aurélien Bellet, Joseph Salmon +1
In this paper, we study differentially private empirical risk minimization (DP-ERM). It has been shown that the worst-case utility of DP-ERM reduces polynomially as the dimension i…
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
Edwige Cyffers, Mathieu Even, Aurélien Bellet +1
Decentralized optimization is increasingly popular in machine learning for its scalability and efficiency. Intuitively, it should also provide better privacy guarantees, as nodes o…
The VoicePrivacy 2022 Challenge Evaluation Plan
Natalia Tomashenko, Xin Wang, Xiaoxiao Miao +7
For new participants - Executive summary: (1) The task is to develop a voice anonymization system for speech data which conceals the speaker's voice identity while protecting lingu…