Thibault Gisselbrecht

According to our database1, Thibault Gisselbrecht authored at least 19 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks.
CoRR, 2020

Predicting Detection Filters for Small Footprint Open-Vocabulary Keyword Spotting.
Proceedings of the Interspeech 2020, 2020

A Study on More Realistic Room Simulation for Far-Field Keyword Spotting.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Contextual bandits with hidden contexts: a focused data capture from social media streams.
Data Min. Knowl. Discov., 2019

Spoken Language Understanding on the Edge.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Federated Learning for Keyword Spotting.
Proceedings of the IEEE International Conference on Acoustics, 2019

Efficient Keyword Spotting Using Dilated Convolutions and Gating.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Profile-Based Bandit with Unknown Profiles.
J. Mach. Learn. Res., 2018

Bandit algorithms for real-time data capture on large social medias.
CoRR, 2018

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces.
CoRR, 2018

2017
Algorithmes de bandits pour la collecte d'informations en temps réel dans les réseaux sociaux. (Bandit Algorithms for Data Extraction on Social Media).
PhD thesis, 2017

Variational Thompson Sampling for Relational Recurrent Bandits.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel.
Document Numérique, 2016

Linear Bandits in Unknown Environments.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Bandit contextuel pour la capture de données temps réel sur les médias sociaux.
Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016

2015
Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux.
Document Numérique, 2015

WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Policies for Contextual Bandit Problems with Count Payoffs.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015


  Loading...