Class-incremental learning is a branch of continual learning research, whose goal is enabling machine learning models with the required tools to learn new classes throughout their lifetime - without forgetting previously learned information. This is an extremely important task for agents that need to be deployed in the real world, since it is hard to define a priori all the possible classes that an agent will face.
We are looking for a motivated intern to join our team and work on this active research topic. In particular, the focus will be on computer vision models for robotics applications (object detection, semantic segmentation, etc.). They will be working both on standard class-incremental learning problems, and new problems that are specifically targeted at Naver's robotics applications. We strongly encourage our interns to publish their work, targeting major venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, etc.
This internship will be supervised by Riccardo Volpi.
NAVER LABS is a world class team of self-motivated and highly engaged researchers, engineers and interface designers collaborating together to create next generation ambient intelligence technology and services that are rich with the organic understanding they have of users, their contexts and situations.
Since 2013 LABS has led NAVER’s innovation in technology through products such as the AI-based translation app ‘Papago’, the omni-tasking web browser ‘Whale’, the virtual AI assistant ‘WAVE’, in-vehicle information entertainment system ‘AWAY’ and M1, the 3D indoor mapping robot.
The team in Europe is multidisciplinary and extremely multicultural specializing in artificial intelligence, machine learning, computer vision, natural language processing, UX and ethnography. We collaborate with many partners in the European scientific community on R&D projects.
NAVER LABS Europe is located in the south east of France in Grenoble. The notoriety of Grenoble comes from its exceptional natural environment and scientific ecosystem with 21,000 jobs in public and private research. It is home to 1 of the 4 French national institutes in AI called MIAI (Multidisciplinary Innovation in Ai) It has a large student community (over 62,000 students) and is a lively and cosmopolitan place, offering a host of leisure opportunities. Grenoble is close to both the Swiss and Italian borders and is the ideal place for skiing, hiking, climbing, hang gliding and all types of mountain sports.
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