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06/26/2023
Parameter-Level Soft-Masking for Continual Learning
Existing research on task incremental learning in continual learning has...
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04/20/2023
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
As AI agents are increasingly used in the real open world with unknowns ...
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02/07/2023
Continual Pre-training of Language Models
Language models (LMs) have been instrumental for the rapid advance of na...
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01/21/2023
Adapting a Language Model While Preserving its General Knowledge
Domain-adaptive pre-training (or DA-training for short), also known as p...
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11/23/2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual learning (CL) is an emerging learning paradigm that aims to em...
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11/04/2022
A Theoretical Study on Solving Continual Learning
Continual learning (CL) learns a sequence of tasks incrementally. There ...
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10/11/2022
Continual Training of Language Models for Few-Shot Learning
Recent work on applying large language models (LMs) achieves impressive ...
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08/20/2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
This paper studies class incremental learning (CIL) of continual learnin...
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04/05/2022
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data
In many real-world machine learning applications, samples belong to a se...
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12/18/2021
Continual Learning with Knowledge Transfer for Sentiment Classification
This paper studies continual learning (CL) for sentiment classification ...
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12/18/2021
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Existing research on continual learning of a sequence of tasks focused o...
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12/06/2021
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
This paper studies continual learning (CL) of a sequence of aspect senti...
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12/05/2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
This paper studies continual learning (CL) of a sequence of aspect senti...
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12/05/2021