no code implementations • 11 Apr 2024 • Rui Li, Martin Trapp, Marcus Klasson, Arno Solin
Deployment of deep neural networks in real-world settings typically requires adaptation to new tasks with few examples.
1 code implementation • 18 Sep 2022 • Marcus Klasson, Hedvig Kjellström, Cheng Zhang
In such settings, we propose that continual learning systems should learn the time to learn and schedule which tasks to replay at different time steps.
no code implementations • 29 Sep 2021 • Marcus Klasson, Hedvig Kjellstrom, Cheng Zhang
Inspired by human learning, we illustrate that scheduling over which tasks to revisit is critical to the final performance with finite memory resources.
3 code implementations • 3 Jan 2019 • Marcus Klasson, Cheng Zhang, Hedvig Kjellström
In this paper, we provide a new benchmark dataset for a challenging task in this application - classification of fruits, vegetables, and refrigerated products, e. g. milk packages and juice cartons, in grocery stores.
no code implementations • 29 Nov 2017 • Marcus Klasson, Kun Zhang, Bo C. Bertilson, Cheng Zhang, Hedvig Kjellström
In this work, we explore the possibility of utilizing causal relationships to refine diagnostic prediction.