Search Results for author:
Found 2 papers, 2 papers with code
BOWLL: A Deceptively Simple Open World Lifelong Learner
The quest to improve scalar performance numbers on predetermined benchmarks seems to be deeply engraved in deep learning.
Masked Autoencoders are Efficient Continual Federated Learners
In parts, federated learning lifts this assumption, as it sets out to solve the real-world challenge of collaboratively learning a shared model from data distributed across clients.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
