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07/10/2022
Scaling the Number of Tasks in Continual Learning
Standard gradient descent algorithms applied to sequences of tasks are k...
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04/30/2022
Foundational Models for Continual Learning: An Empirical Study of Latent Replay
Rapid development of large-scale pre-training has resulted in foundation...
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11/15/2021
Continual Learning via Local Module Composition
Modularity is a compelling solution to continual learning (CL), the prob...
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08/02/2021
Sequoia: A Software Framework to Unify Continual Learning Research
The field of Continual Learning (CL) seeks to develop algorithms that ac...
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03/12/2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Learning from non-stationary data remains a great challenge for machine ...
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11/30/2019
Pruning at a Glance: Global Neural Pruning for Model Compression
Deep Learning models have become the dominant approach in several areas ...
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04/05/2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
Models trained in the context of continual learning (CL) should be able ...
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11/22/2018
