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08/29/2023
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
Continual learning aims to empower artificial intelligence (AI) with str...
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03/09/2023
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
The goal of continual learning is to improve the performance of recognit...
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01/31/2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application
To cope with real-world dynamics, an intelligent agent needs to incremen...
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07/13/2022
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One
Continual learning requires incremental compatibility with a sequence of...
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02/14/2022
Memory Replay with Data Compression for Continual Learning
Continual learning needs to overcome catastrophic forgetting of the past...
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10/23/2021
AFEC: Active Forgetting of Negative Transfer in Continual Learning
Continual learning aims to learn a sequence of tasks from dynamic data d...
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04/19/2021
Few-shot Continual Learning: a Brain-inspired Approach
It is an important yet challenging setting to continually learn new task...
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01/05/2021
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA), which aims to learn models in ...
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01/02/2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning
Continual learning usually assumes the incoming data are fully labeled, ...
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03/06/2020
