all AI news
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer. (arXiv:2208.03767v3 [cs.CV] UPDATED)
Aug. 17, 2022, 1:12 a.m. | Arjun Ashok, K J Joseph, Vineeth Balasubramanian
cs.CV updates on arXiv.org arxiv.org
In class-incremental learning, the model is expected to learn new classes
continually while maintaining knowledge on previous classes. The challenge here
lies in preserving the model's ability to effectively represent prior classes
in the feature space, while adapting it to represent incoming new classes. We
propose two distillation-based objectives for class incremental learning that
leverage the structure of the feature space to maintain accuracy on previous
classes, as well as enable learning the new classes. In our first objective,
termed …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Machine Learning Engineer (m/f/d)
@ StepStone Group | Düsseldorf, Germany
2024 GDIA AI/ML Scientist - Supplemental
@ Ford Motor Company | United States