mlsanityData to 14 Oct 2026

Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control

arXiv 1907.13322 ↗First posted 31 Jul 2019cs.CVcited by 36

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Abstract (arXiv)

To address the issue of catastrophic forgetting in neural networks, we propose a novel, simple, and effective solution called neuron-level plasticity control (NPC). While learning a new task, the proposed method preserves the knowledge for the previous tasks by controlling the plasticity of the network at the neuron level. NPC estimates the importance value of each neuron and consolidates important textitneurons by applying lower learning rates, rather than restricting individual connection weights to stay close to certain values. The experimental results on the incremental MNIST (iMNIST) and incremental CIFAR100 (iCIFAR100) datasets show that neuron-level consolidation is substantially more effective compared to the connection-level consolidation approaches.

Key facts. Cited by 36 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Jul 2019.

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Citing papers per year: 2021: 3; 2022: 5; 2023: 6; 2024: 13; 2025: 5; 2026: 4.

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  1. 2023A Comprehensive Survey of Continual Learning: Theory, Method and Applicationcited by 872
  2. 2021Training Networks in Null Space of Feature Covariance for Continual Learningcited by 143
  3. 2024Continual Learning and Catastrophic Forgettingcited by 77
  4. 2022Don't Stop Learning: Towards Continual Learning for the CLIP Modelcited by 61
  5. 2025CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answeringcited by 37
  6. 2022Meta-attention for ViT-backed Continual Learningcited by 29
  7. 2024VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Modelcited by 23
  8. 2021Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approachcited by 19
  9. 2021Continual Learning via Inter-Task Synaptic Mappingcited by 14
  10. 2024Empowering Large Language Model for Continual Video Question Answering with Collaborative Promptingcited by 14
  11. 2022CNLL: A Semi-supervised Approach For Continual Noisy Label Learningcited by 8
  12. 2024DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analyticscited by 8
24 more
  1. 2024Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applicationscited by 8
  2. 2023Assessor-Guided Learning for Continual Environmentscited by 7
  3. 2022Scalable Adversarial Online Continual Learningcited by 6
  4. 2024Dynamic Object Queries for Transformer-based Incremental Object Detectioncited by 6
  5. 2023Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learningcited by 5
  6. 2023Few-Shot Continual Learning via Flat-to-Wide Approachescited by 4
  7. 2024Few-Shot Class Incremental Learning via Robust Transformer Approachcited by 4
  8. 2024Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyondcited by 4
  9. 2023IF2Net: Innately Forgetting-Free Networks for Continual Learningcited by 3
  10. 2025Continual Knowledge Consolidation LORA for Domain Incremental Learningcited by 2
  11. 2023Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusioncited by 1
  12. 2024Cross-Domain Continual Learning via CLAMPcited by 1
  13. 2024Forward-Backward Knowledge Distillation for Continual Clusteringcited by 1
  14. 2024Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learnercited by 1
  15. 2024Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classificationcited by 1
  16. 2022Sketch of a novel approach to a neural modelcited by 0
  17. 2024One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learningcited by 0
  18. 2025Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learningcited by 0
  19. 2025Index-Aligned Query Distillation for Transformer-based Incremental Object Detectioncited by 0
  20. 2025Source-Free Cross-Domain Continual Learningcited by 0
  21. 2026MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answeringcited by 0
  22. 2026HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answeringcited by 0
  23. 2026Unsupervised Continual Clustering via Forward-Backward Knowledge Distillationcited by 0
  24. 2026Few-Shot Domain Incremental Learning via Continual Vision-Language Consolidationcited by 0