Continual Self-Supervised Learning
5 papers with code • 4 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Continual Self-Supervised Learning
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Most implemented papers
Learning Representations for New Sound Classes With Continual Self-Supervised Learning
In this paper, we work on a sound recognition system that continually incorporates new sound classes.
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
csm9493/PNR
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We introduce a novel Pseudo-Negative Regularization (PNR) framework for effective continual self-supervised learning (CSSL).
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
In this paper, we reconsider versatile self-supervised learning from the perspective of continual learning and propose MedCoSS, a continuous self-supervised learning approach for multi-modal medical data.
LGSDF: Continual Global Learning of Signed Distance Fields Aided by Local Updating
bit-dyn/lgsdf
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Implicit reconstruction of ESDF (Euclidean Signed Distance Field) involves training a neural network to regress the signed distance from any point to the nearest obstacle, which has the advantages of lightweight storage and continuous querying.
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
Two main challenges of continual learning are catastrophic forgetting and task confusion.
