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weight regularization

13 papers

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continual learning (7) catastrophic forgetting (5) neural network (2) online learning (2) margin training (1) confidence weighting (1) fisher information matrix (1) projected gradient descent (1) lifelong learning (1) generalization bound (1)

Papers

Elastic Weight Consolidation Done Right for Continual Learning CVPR 2026 Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation WACV 2025 Disentangling and mitigating the impact of task similarity for continual learning NeurIPS 2024 Backforward Propagation (Student Abstract) AAAI 2023 Batch Model Consolidation: A Multi-Task Model Consolidation Framework CVPR 2023 TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion NeurIPS 2023 Improving Low-Precision Network Quantization via Bin Regularization ICCV 2021 Natural continual learning: success is a journey, not (just) a destination NeurIPS 2021 Continual Deep Learning by Functional Regularisation of Memorable Past NeurIPS 2020 Improving generalization by controlling label-noise information in neural network weights ICML 2020 Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters WACV 2020 Regularization of Neural Networks using DropConnect ICML 2013 Adaptive Regularization of Weight Vectors NeurIPS 2009