1 code implementation • 5 Jun 2023 • Simon Lepage, Jérémie Mary, David Picard
This paper introduces a new challenge for image similarity search in the context of fashion, addressing the inherent ambiguity in this domain stemming from complex images.
no code implementations • 21 Jul 2022 • Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
We investigate the relationship between the performance of these models and the geometry of their latent space.
no code implementations • 31 Jan 2022 • Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang
Designing data sharing mechanisms providing performance and strong privacy guarantees is a hot topic for the Online Advertising industry.
1 code implementation • 30 Nov 2021 • Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
Advances in computer vision are pushing the limits of im-age manipulation, with generative models sampling detailed images on various tasks.
no code implementations • ECCV 2020 • Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes
This task requires fitting an in-shop cloth image on the image of a person, which is highly challenging because it involves cloth warping, image compositing, and synthesizing.
no code implementations • 4 Jun 2019 • Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes
This task requires to fit an in-shop cloth image on the image of a person.
no code implementations • 23 Feb 2019 • Elena Smirnova, Elvis Dohmatob, Jérémie Mary
Our formulation results in a efficient algorithm that accounts for a simple re-weighting of policy actions in the standard policy iteration scheme.
no code implementations • NeurIPS 2018 • Romain Warlop, Alessandro Lazaric, Jérémie Mary
A common assumption in recommender systems (RS) is the existence of a best fixed recommendation strategy.
1 code implementation • ECCV 2018 • Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron Courville, Olivier Pietquin
Recent breakthroughs in computer vision and natural language processing have spurred interest in challenging multi-modal tasks such as visual question-answering and visual dialogue.
no code implementations • 23 Jul 2018 • Kiewan Villatel, Elena Smirnova, Jérémie Mary, Philippe Preux
Recommender systems objectives can be broadly characterized as modeling user preferences over short-or long-term time horizon.
no code implementations • 24 May 2018 • Romain Warlop, Jérémie Mary, Mike Gartrell
Determinantal point processes (DPPs) have received significant attention in the recent years as an elegant model for a variety of machine learning tasks, due to their ability to elegantly model set diversity and item quality or popularity.
3 code implementations • NeurIPS 2017 • Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, Aaron Courville
It is commonly assumed that language refers to high-level visual concepts while leaving low-level visual processing unaffected.
4 code implementations • 24 Jun 2016 • Florian Strub, Romaric Gaudel, Jérémie Mary
A standard model for Recommender Systems is the Matrix Completion setting: given partially known matrix of ratings given by users (rows) to items (columns), infer the unknown ratings.
Ranked #1 on Recommendation Systems on Douban
no code implementations • 10 Jul 2014 • Jérémie Mary, Romaric Gaudel, Preux Philippe
Finally, experimental evidence confirm that our algorithm is effective in dealing with the cold start problem on publicly available datasets.
no code implementations • 14 May 2014 • Olivier Nicol, Jérémie Mary, Philippe Preux
In general the evaluation of a RS is a critical issue.
no code implementations • NeurIPS 2012 • Daniil Ryabko, Jérémie Mary
The algorithms that we construct for solving these problems are based on a new metric between time-series distributions, which can be evaluated using binary classification methods.