Saved in:
| Main Authors: | Wang, Zhi, Wu, Zhongbin, Li, Yanni, Liu, Bing, Li, Guangxi, Wang, Yuping |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.05623 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
by: Hess, Timm, et al.
Published: (2023)
by: Hess, Timm, et al.
Published: (2023)
More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning
by: Yu, Wanhao, et al.
Published: (2025)
by: Yu, Wanhao, et al.
Published: (2025)
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
by: Wang, Zhenyi, et al.
Published: (2023)
by: Wang, Zhenyi, et al.
Published: (2023)
Continual Learning: Forget-free Winning Subnetworks for Video Representations
by: Kang, Haeyong, et al.
Published: (2023)
by: Kang, Haeyong, et al.
Published: (2023)
Robust Continual Unlearning against Knowledge Erosion and Forgetting Reversal
by: Park, Eun-Ju, et al.
Published: (2026)
by: Park, Eun-Ju, et al.
Published: (2026)
Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting
by: Liu, Yuyang, et al.
Published: (2025)
by: Liu, Yuyang, et al.
Published: (2025)
Densely Distilling Cumulative Knowledge for Continual Learning
by: Shi, Zenglin, et al.
Published: (2024)
by: Shi, Zenglin, et al.
Published: (2024)
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
by: Frati, Lapo, et al.
Published: (2023)
by: Frati, Lapo, et al.
Published: (2023)
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
by: Wu, Junda, et al.
Published: (2025)
by: Wu, Junda, et al.
Published: (2025)
Slowing Down Forgetting in Continual Learning
by: Janetzky, Pascal, et al.
Published: (2024)
by: Janetzky, Pascal, et al.
Published: (2024)
Learning without Forgetting for Vision-Language Models
by: Zhou, Da-Wei, et al.
Published: (2023)
by: Zhou, Da-Wei, et al.
Published: (2023)
Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt
by: Wang, Aopeng, et al.
Published: (2025)
by: Wang, Aopeng, et al.
Published: (2025)
Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning
by: Lou, Meng, et al.
Published: (2026)
by: Lou, Meng, et al.
Published: (2026)
The Illusion of Forgetting: Attack Unlearned Diffusion via Initial Latent Variable Optimization
by: Li, Manyi, et al.
Published: (2026)
by: Li, Manyi, et al.
Published: (2026)
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
by: Zhong, Jincheng, et al.
Published: (2024)
by: Zhong, Jincheng, et al.
Published: (2024)
Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
by: Deng, Kaiyuan, et al.
Published: (2026)
by: Deng, Kaiyuan, et al.
Published: (2026)
Continual Learning and Catastrophic Forgetting
by: van de Ven, Gido M., et al.
Published: (2024)
by: van de Ven, Gido M., et al.
Published: (2024)
Forget Less, Retain More: A Lightweight Regularizer for Rehearsal-Based Continual Learning
by: Alssum, Lama, et al.
Published: (2025)
by: Alssum, Lama, et al.
Published: (2025)
How Weight Resampling and Optimizers Shape the Dynamics of Continual Learning and Forgetting in Neural Networks
by: Frati, Lapo, et al.
Published: (2025)
by: Frati, Lapo, et al.
Published: (2025)
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
by: Rezaei, Hossein, et al.
Published: (2024)
by: Rezaei, Hossein, et al.
Published: (2024)
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
Image deblurring based on lightweight multi-information fusion network
by: Zhang, Yanni, et al.
Published: (2021)
by: Zhang, Yanni, et al.
Published: (2021)
Towards Understanding Adversarial Transferability in Federated Learning
by: Li, Yijiang, et al.
Published: (2023)
by: Li, Yijiang, et al.
Published: (2023)
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection
by: Bhatt, Gaurav, et al.
Published: (2024)
by: Bhatt, Gaurav, et al.
Published: (2024)
Learning to Learn without Forgetting using Attention
by: Vettoruzzo, Anna, et al.
Published: (2024)
by: Vettoruzzo, Anna, et al.
Published: (2024)
Forecasting Epileptic Seizures from Contactless Camera via Cross-Species Transfer Learning
by: Zhai, Mingkai, et al.
Published: (2026)
by: Zhai, Mingkai, et al.
Published: (2026)
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
by: Liang, Jinglin, et al.
Published: (2024)
by: Liang, Jinglin, et al.
Published: (2024)
AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
by: Momeni, Saleh, et al.
Published: (2025)
by: Momeni, Saleh, et al.
Published: (2025)
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
by: Wei, Xiwen, et al.
Published: (2024)
by: Wei, Xiwen, et al.
Published: (2024)
Knowledge Bridger: Towards Training-free Missing Modality Completion
by: Ke, Guanzhou, et al.
Published: (2025)
by: Ke, Guanzhou, et al.
Published: (2025)
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
by: Wu, Wenyuan, et al.
Published: (2025)
by: Wu, Wenyuan, et al.
Published: (2025)
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning
by: Liu, Lei, et al.
Published: (2024)
by: Liu, Lei, et al.
Published: (2024)
ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation
by: Guo, Zirun, et al.
Published: (2025)
by: Guo, Zirun, et al.
Published: (2025)
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
by: Zhang, Qifan, et al.
Published: (2024)
by: Zhang, Qifan, et al.
Published: (2024)
Learning from Oblivion: Predicting Knowledge Overflowed Weights via Retrodiction of Forgetting
by: Jang, Jinhyeok, et al.
Published: (2025)
by: Jang, Jinhyeok, et al.
Published: (2025)
Enhancing Industrial Transfer Learning with Style Filter: Cost Reduction and Defect-Focus
by: Li, Chen, et al.
Published: (2024)
by: Li, Chen, et al.
Published: (2024)
Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning
by: He, Lingfeng, et al.
Published: (2026)
by: He, Lingfeng, et al.
Published: (2026)
Fine-tuning MLLMs Without Forgetting Is Easier Than You Think
by: Li, He, et al.
Published: (2026)
by: Li, He, et al.
Published: (2026)
Forward-Backward Knowledge Distillation for Continual Clustering
by: Sadeghi, Mohammadreza, et al.
Published: (2024)
by: Sadeghi, Mohammadreza, et al.
Published: (2024)
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
by: Tian, Bozhong, et al.
Published: (2024)
by: Tian, Bozhong, et al.
Published: (2024)
Similar Items
-
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
by: Hess, Timm, et al.
Published: (2023) -
More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning
by: Yu, Wanhao, et al.
Published: (2025) -
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
by: Wang, Zhenyi, et al.
Published: (2023) -
Continual Learning: Forget-free Winning Subnetworks for Video Representations
by: Kang, Haeyong, et al.
Published: (2023) -
Robust Continual Unlearning against Knowledge Erosion and Forgetting Reversal
by: Park, Eun-Ju, et al.
Published: (2026)