Saved in:
| Main Authors: | Zhu, Yunqin, Jin, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.04580 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
by: Banayeeanzade, Amin, et al.
Published: (2025)
by: Banayeeanzade, Amin, et al.
Published: (2025)
Forget Forgetting: Continual Learning in a World of Abundant Memory
by: Cho, Dongkyu, et al.
Published: (2025)
by: Cho, Dongkyu, et al.
Published: (2025)
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
by: Kumar, Ashutosh, et al.
Published: (2024)
by: Kumar, Ashutosh, et al.
Published: (2024)
Why the Brain Consolidates: Predictive Forgetting for Optimal Generalisation
by: Fountas, Zafeirios, et al.
Published: (2026)
by: Fountas, Zafeirios, et al.
Published: (2026)
Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study
by: Cheng, Ziyang, et al.
Published: (2025)
by: Cheng, Ziyang, et al.
Published: (2025)
Sequencing to Mitigate Catastrophic Forgetting in Continual Learning
by: Moussa, Hesham G., et al.
Published: (2025)
by: Moussa, Hesham G., et al.
Published: (2025)
Accurate Forgetting for Heterogeneous Federated Continual Learning
by: Wuerkaixi, Abudukelimu, et al.
Published: (2025)
by: Wuerkaixi, Abudukelimu, et al.
Published: (2025)
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
by: Zhang, Xinchen, et al.
Published: (2024)
by: Zhang, Xinchen, et al.
Published: (2024)
Human-like Forgetting Curves in Deep Neural Networks
by: Kline, Dylan
Published: (2025)
by: Kline, Dylan
Published: (2025)
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
by: Elsayed, Mohamed, et al.
Published: (2024)
by: Elsayed, Mohamed, et al.
Published: (2024)
On the Implicit Adversariality of Catastrophic Forgetting in Deep Continual Learning
by: Peng, Ze, et al.
Published: (2025)
by: Peng, Ze, et al.
Published: (2025)
From Order to Distribution: A Spectral Characterization of Forgetting in Continual Learning
by: Xu, Zonghuan, et al.
Published: (2026)
by: Xu, Zonghuan, et al.
Published: (2026)
Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
by: Liu, Huihan, et al.
Published: (2026)
by: Liu, Huihan, et al.
Published: (2026)
CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning
by: Hossen, Md Anwar, et al.
Published: (2026)
by: Hossen, Md Anwar, et al.
Published: (2026)
Overcoming Growth-Induced Forgetting in Task-Agnostic Continual Learning
by: Zhao, Yuqing, et al.
Published: (2024)
by: Zhao, Yuqing, et al.
Published: (2024)
Memory-efficient Continual Learning with Neural Collapse Contrastive
by: Dang, Trung-Anh, et al.
Published: (2024)
by: Dang, Trung-Anh, et al.
Published: (2024)
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
by: Zhao, Zhe, et al.
Published: (2024)
by: Zhao, Zhe, et al.
Published: (2024)
Retrofit: Continual Learning with Controlled Forgetting for Binary Security Detection and Analysis
by: He, Yiling, et al.
Published: (2025)
by: He, Yiling, et al.
Published: (2025)
CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay
by: Zhang, Jianshu, et al.
Published: (2024)
by: Zhang, Jianshu, et al.
Published: (2024)
Machine Unlearning using Forgetting Neural Networks
by: Hatua, Amartya, et al.
Published: (2024)
by: Hatua, Amartya, et al.
Published: (2024)
Why Do Unlearnable Examples Work: A Novel Perspective of Mutual Information
by: Zhu, Yifan, et al.
Published: (2026)
by: Zhu, Yifan, et al.
Published: (2026)
Slowing Down Forgetting in Continual Learning
by: Janetzky, Pascal, et al.
Published: (2024)
by: Janetzky, Pascal, et al.
Published: (2024)
Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
by: Wei, Xiwen, et al.
Published: (2025)
by: Wei, Xiwen, et al.
Published: (2025)
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
by: Jiang, Gangwei, et al.
Published: (2025)
by: Jiang, Gangwei, et al.
Published: (2025)
Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View
by: Jin, Yufei, et al.
Published: (2024)
by: Jin, Yufei, et al.
Published: (2024)
Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding
by: Pons, Gerard, et al.
Published: (2026)
by: Pons, Gerard, et al.
Published: (2026)
Catastrophic Forgetting in Kolmogorov-Arnold Networks
by: Rahman, Mohammad Marufur, et al.
Published: (2025)
by: Rahman, Mohammad Marufur, et al.
Published: (2025)
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models
by: Blöbaum, Patrick, et al.
Published: (2022)
by: Blöbaum, Patrick, et al.
Published: (2022)
The Prevalence of Neural Collapse in Neural Multivariate Regression
by: Andriopoulos, George, et al.
Published: (2024)
by: Andriopoulos, George, et al.
Published: (2024)
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
by: Serra, Giuseppe, et al.
Published: (2024)
by: Serra, Giuseppe, et al.
Published: (2024)
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)
Norm-Hierarchy Transitions in Representation Learning: When and Why Neural Networks Abandon Shortcuts
by: Khanh, Truong Xuan, et al.
Published: (2026)
by: Khanh, Truong Xuan, et al.
Published: (2026)
Practical Continual Forgetting for Pre-trained Vision Models
by: Zhao, Hongbo, et al.
Published: (2025)
by: Zhao, Hongbo, et al.
Published: (2025)
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
by: Roth, Andreas, et al.
Published: (2023)
by: Roth, Andreas, et al.
Published: (2023)
Don't Forget the Critic: Value-Based Data Rehearsal for Multi-Cyclic Continual Reinforcement Learning
by: Poole, Benjamin, et al.
Published: (2026)
by: Poole, Benjamin, et al.
Published: (2026)
Why Do Language Model Agents Whistleblow?
by: Agrawal, Kushal, et al.
Published: (2025)
by: Agrawal, Kushal, et al.
Published: (2025)
Real Time Detection and Quantitative Analysis of Spurious Forgetting in Continual Learning
by: Wang, Weiwei
Published: (2025)
by: Wang, Weiwei
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)
A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
by: Kolipaka, Varshita, et al.
Published: (2024)
by: Kolipaka, Varshita, et al.
Published: (2024)
Why the Maximum Second Derivative of Activations Matters for Adversarial Robustness
by: Yu, Yunrui, et al.
Published: (2026)
by: Yu, Yunrui, et al.
Published: (2026)
Similar Items
-
Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
by: Banayeeanzade, Amin, et al.
Published: (2025) -
Forget Forgetting: Continual Learning in a World of Abundant Memory
by: Cho, Dongkyu, et al.
Published: (2025) -
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
by: Kumar, Ashutosh, et al.
Published: (2024) -
Why the Brain Consolidates: Predictive Forgetting for Optimal Generalisation
by: Fountas, Zafeirios, et al.
Published: (2026) -
Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study
by: Cheng, Ziyang, et al.
Published: (2025)