Description
The methon to overcome catastrophic forgetting in neural network while continual learning
Papers Using This Method
Overcoming catastrophic forgetting in neural networks2025-07-14Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence2025-05-26Elastic Weight Consolidation for Full-Parameter Continual Pre-Training of Gemma22025-05-09Modality-Independent Brain Lesion Segmentation with Privacy-aware Continual Learning2025-03-26Continual Learning With Quasi-Newton Methods2025-03-25SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models2025-02-25On the Computation of the Fisher Information in Continual Learning2025-02-17CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning2025-01-19Towards Balanced Continual Multi-Modal Learning in Human Pose Estimation2025-01-09Digital-Analog Transmission based Emergency Semantic Communications2025-01-03ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness after Fine-Tuning2024-10-28Continual Human Pose Estimation for Incremental Integration of Keypoints and Pose Variations2024-09-30Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion2024-08-19The Nah Bandit: Modeling User Non-compliance in Recommendation Systems2024-08-15Robust Active Learning (RoAL): Countering Dynamic Adversaries in Active Learning with Elastic Weight Consolidation2024-08-14Resource Allocation for 5G-UAV Based Emergency Wireless Communications2024-07-24Learn and Don't Forget: Adding a New Language to ASR Foundation Models2024-07-09Characterizing Continual Learning Scenarios and Strategies for Audio Analysis2024-06-29Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models2024-06-13On the Consistency of Kernel Methods with Dependent Observations2024-06-10