Warren Jouanneau

Orcid: 0000-0003-4973-2416

According to our database1, Warren Jouanneau authored at least 8 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain.
CoRR, April, 2026

2025
An Efficient Long-Context Ranking Architecture With Calibrated LLM Distillation: Application to Person-Job Fit.
Proceedings of the 5th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025), 2025

Evaluating LLM Behavior in Hiring: Implicit Weights, Fairness Across Groups, and Alignment with Human Preferences.
Proceedings of the 5th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025), 2025

2024
Skill matching at scale: freelancer-project alignment for efficient multilingual candidate retrieval.
Proceedings of the 4th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

2023
Identification de vêtements dans des images : de la segmentation d'instances à la classification multi-étiquettes faiblement supervisée. (Clothing identification in images : from instance segmentation to weakly supervised multi-label classification).
PhD thesis, 2023

A Patch-Based Architecture for Multi-Label Classification from Single Positive Annotations.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022
A patch-based architecture for multi-label classification from single label annotations.
CoRR, 2022

2021
Where Are My Clothes? A Multi-Level Approach for Evaluating Deep Instance Segmentation Architectures on Fashion Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021


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