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  Published Paper Details:

  Paper Title

Advancements and Challenges in Incremental Learning: A Comprehensive Survey

  Authors

  Varad Joshi,  Dr. Rupesh Jaiswal

  Keywords

Incremental Learning, Catastrophic Forgetting, Regularization, Rehearsal Techniques, Neural Network Modification, Transfer Learning, Experience Replay, Generative Replay, Elastic Weight Consolidation (EWC), Synaptic Intelligence (SI), Knowledge Distillation, Fine-Tuning, Data Augmentation, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Multi-Task Learning, Progressive Neural Networks (PNN), Meta-Learning, Challenges, Advancements

  Abstract


Incremental learning, an essential facet of artificial intelligence (AI), involves the dynamic acquisition and integration of knowledge from new data or tasks while preserving information from prior experiences. Overcoming catastrophic forgetting and effectively adapting to evolving environments are central challenges in incremental learning [1], [10]. This survey paper comprehensively explores the latest advancements, methodologies, and challenges in incremental learning. We delve into various techniques, ranging from regularization methods and rehearsal strategies to neural network modifications and transfer learning. Through an in-depth analysis, we aim to elucidate the intricate landscape of incremental learning and provide insights to inspire future research and development in this rapidly evolving field.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2310388

  Paper ID - 245303

  Page Number(s) - d463-d476

  Pubished in - Volume 11 | Issue 10 | October 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Varad Joshi,  Dr. Rupesh Jaiswal,   "Advancements and Challenges in Incremental Learning: A Comprehensive Survey", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 10, pp.d463-d476, October 2023, Available at :http://www.ijcrt.org/papers/IJCRT2310388.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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