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Parsimonious Unsupervised and Semi-Supervised Domain Adaptation with Good Sim...
International audience -
Active vision strategies for object recognition
This PhD thesis, conducted in cooperation with ONERA, focuses on active 3D object recognition by an autonomous visual agent. Whereas in passive recognition,... -
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear C...
International audience -
Efficient large-context dependency parsing and correction with distributional...
This thesis explores ways to improve the accuracy and coverage of efficient statistical dependency parsing. We employ transition-based parsing with models learned... -
Learning Majority Vote for Supervised Classification and Domain Adaptation: P...
Nowadays, due to the expansion of the web a plenty of data are available and many applications need to make use of supervised machine learning methods able to take... -
Transferring knowledge with source selection to learn IR functions on unlabel...
International audience -
Domain Adaptation of Majority Votes via Perturbed Variation-based Label Transfer
We tackle the PAC-Bayesian Domain Adaptation (DA) problem. This arrives when one desires to learn, from a source distribution, a good weighted majority vote (over a... -
Domain adaptation for sequence labeling using hidden Markov models
International audience
