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08/20/2023
A Comprehensive Empirical Evaluation on Online Continual Learning
Online continual learning aims to get closer to a live learning experien...
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03/28/2023
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning
Distributed learning on the edge often comprises self-centered devices (...
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02/02/2023
Avalanche: A PyTorch Library for Deep Continual Learning
Continual learning is the problem of learning from a nonstationary strea...
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01/26/2023
Class-Incremental Learning with Repetition
Real-world data streams naturally include the repetition of previous con...
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06/29/2022
Continual Learning for Human State Monitoring
Continual Learning (CL) on time series data represents a promising but u...
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06/23/2022
Sample Condensation in Online Continual Learning
Online Continual learning is a challenging learning scenario where the m...
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05/19/2022
Continual Pre-Training Mitigates Forgetting in Language and Vision
Pre-trained models are nowadays a fundamental component of machine learn...
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03/19/2022
Practical Recommendations for Replay-based Continual Learning Methods
Continual Learning requires the model to learn from a stream of dynamic,...
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12/13/2021
Ex-Model: Continual Learning from a Stream of Trained Models
Learning continually from non-stationary data streams is a challenging r...
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12/06/2021
Is Class-Incremental Enough for Continual Learning?
The ability of a model to learn continually can be empirically assessed ...
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11/17/2021
Sustainable Artificial Intelligence through Continual Learning
The increasing attention on Artificial Intelligence (AI) regulation has ...
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05/17/2021
Continual Learning with Echo State Networks
Continual Learning (CL) refers to a learning setup where data is non sta...
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03/29/2021
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Replay strategies are Continual Learning techniques which mitigate catas...
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03/22/2021
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification
In this work, we study the phenomenon of catastrophic forgetting in the ...
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03/12/2021
Continual Learning for Recurrent Neural Networks: a Review and Empirical Evaluation
Learning continuously during all model lifetime is fundamental to deploy...
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04/08/2020