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Abstract: This paper addresses a continual lifelong learning problem that learns incremental multiple tasks in real-world environments.
Abstract—This paper addresses a continual lifelong learning problem that learns incremental multiple tasks in real-world environments.
We overview and summarize representative approaches and categorization of the state-of-the-art in continual learning. Comparable scenarios, benchmark datasets, ...
This concluding chapter helps us look toward the future of active learning spaces as they enter the mainstream. Read more. Conference Paper. Embedding ...
Jun 24, 2020 · In this work, we propose prescient continual learning, a novel experimental setting, to incorporate existing information about the classes, ...
Feb 3, 2024 · Meta Continual Learning emerges as a solution to this challenge, aiming to create models that not only learn from new data but also retain and ...
Apr 12, 2024 · We hope that this work offers an interesting perspective on the future of continual learning, while displaying its potential value and the paths ...
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Apr 13, 2020 · The most valuable workers now and in the future will be those who can combine technical knowledge with human skills and adapt to the changing ...
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At each training task, we learn a new set of classes, but the model is evaluated on all classes — past, present, and future. The model has to avoid catastrophic ...
Mar 28, 2024 · The aim of this paper is to offer a perspective on continual learning and its future. We do not aim to cover the latest technical progress in ...