Welcome!

MLIA is a research team working on Statistical Machine Learning (ML) with an emphasis on algorithmic aspects and on applications involving semantic data analysis.

The team is involved in several international and national academic collaborations and has developed a close cooperation with industrial R&D partners both through joint participation to projects and through bilateral contracts.
MLIA is involved in international and national community service and at the local UPMC level is actively participating in both research and teaching administration.

Follow-up of our 2021 publications!

He are happy to strengthen our presence in the different #MachineLearning/#DeepLearning communities, but also in highly-related ones: #NLP/#IR, #Vision, #Signal, #Climate. 
Below, a summary of our main publications. For more details and an exhaustive list, have a look on our publication page

• 4 papers ICLR
• 5 ICCV papers
• 1 SIGIR paper
• 2 ECIR papers
• journal papers: KIS, Informatics

Follow-up of our 2020 publications!

• 3 NeurIPS papers
• 4 ICML papers
• 1 ECML/PKDD paper
• 1 IJCAI paper
• 1 COLING paper
• 1 ECCV paper
• 1 CVPR paper
• 3 ICASSP papers
• 2 EMNLP & 1 Findings of EMNLP papers
• 1 SIGIR paper
• 1 ECIR paper
• 2 INLG papers 
• journal papers: KBS, AI, 

Follow-up of our 2019 publications!

• 6 NeurIPS papers
• 2 ICML papers
• 1 ICLR paper
• 1 AAAI paper
• 2 ICDM papers
• 3 CVPR papers
• 4 ICCV papers
• 1 BMVC paper
• 2 ICIP papers
• 2 ACL papers
• 2 EMNLP papers
• 3 ICASSP papers
• 5 journals papers: ACM TOIS, DMKD, KIS, PAMI, NeuroComputing

Interested in AI?

Have a look on the AI Index 2018 Report