Flashbacks to Harmonize Stability and Plasticity in Continual Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Mahmoodi, Leila, Moghadam, Peyman, Hayat, Munawar, Simon, Christian, Harandi, Mehrtash |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Erasing Undesirable Influence in Diffusion Models
by: Wu, Jing, et al.
Published: (2024)
by: Wu, Jing, et al.
Published: (2024)
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
by: Wu, Jing, et al.
Published: (2024)
by: Wu, Jing, et al.
Published: (2024)
Learning from Noisy Labels with Contrastive Co-Transformer
by: Han, Yan, et al.
Published: (2025)
by: Han, Yan, et al.
Published: (2025)
Curvature Learning for Generalization of Hyperbolic Neural Networks
by: Fan, Xiaomeng, et al.
Published: (2025)
by: Fan, Xiaomeng, et al.
Published: (2025)
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
by: Lee, Juntae, et al.
Published: (2025)
by: Lee, Juntae, et al.
Published: (2025)
Always Skip Attention
by: Ji, Yiping, et al.
Published: (2025)
by: Ji, Yiping, et al.
Published: (2025)
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
by: Tran, Minh-Tuan, et al.
Published: (2024)
by: Tran, Minh-Tuan, et al.
Published: (2024)
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
by: Luo, Haocheng, et al.
Published: (2025)
by: Luo, Haocheng, et al.
Published: (2025)
MUNBa: Machine Unlearning via Nash Bargaining
by: Wu, Jing, et al.
Published: (2024)
by: Wu, Jing, et al.
Published: (2024)
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning
by: Garrepalli, Risheek, et al.
Published: (2024)
by: Garrepalli, Risheek, et al.
Published: (2024)
Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds
by: Wu, Wei, et al.
Published: (2025)
by: Wu, Wei, et al.
Published: (2025)
Exemplar-Free Continual Learning for State Space Models
by: Lee, Isaac Ning, et al.
Published: (2025)
by: Lee, Isaac Ning, et al.
Published: (2025)
Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling
by: Tran, Minh-Tuan, et al.
Published: (2026)
by: Tran, Minh-Tuan, et al.
Published: (2026)
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
by: Liu, Wenzhuo, et al.
Published: (2024)
by: Liu, Wenzhuo, et al.
Published: (2024)
IMU: Influence-guided Machine Unlearning
by: Fan, Xindi, et al.
Published: (2025)
by: Fan, Xindi, et al.
Published: (2025)
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
by: Duan, Yue, et al.
Published: (2025)
by: Duan, Yue, et al.
Published: (2025)
Generalized Contrastive Learning for Universal Multimodal Retrieval
by: Lee, Jungsoo, et al.
Published: (2025)
by: Lee, Jungsoo, et al.
Published: (2025)
Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
by: Lu, Aojun, et al.
Published: (2025)
by: Lu, Aojun, et al.
Published: (2025)
Flashback: Understanding and Mitigating Forgetting in Federated Learning
by: Aljahdali, Mohammed, et al.
Published: (2024)
by: Aljahdali, Mohammed, et al.
Published: (2024)
A Set-to-Set Distance Measure in Hyperbolic Space
by: Li, Pengxiang, et al.
Published: (2025)
by: Li, Pengxiang, et al.
Published: (2025)
Attention Guided Alignment in Efficient Vision-Language Models
by: Mahajan, Shweta, et al.
Published: (2025)
by: Mahajan, Shweta, et al.
Published: (2025)
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
by: Roy, Kaushik, et al.
Published: (2024)
by: Roy, Kaushik, et al.
Published: (2024)
Pre-training with Random Orthogonal Projection Image Modeling
by: Haghighat, Maryam, et al.
Published: (2023)
by: Haghighat, Maryam, et al.
Published: (2023)
Do-Undo Bench: Reversibility for Action Understanding in Image Generation
by: Mahajan, Shweta, et al.
Published: (2025)
by: Mahajan, Shweta, et al.
Published: (2025)
Unified Framework for Pre-trained Neural Network Compression via Decomposition and Optimized Rank Selection
by: Aghababaei-Harandi, Ali, et al.
Published: (2024)
by: Aghababaei-Harandi, Ali, et al.
Published: (2024)
Overcoming the Stability Gap in Continual Learning
by: Harun, Md Yousuf, et al.
Published: (2023)
by: Harun, Md Yousuf, et al.
Published: (2023)
MoKD: Multi-Task Optimization for Knowledge Distillation
by: Hayder, Zeeshan, et al.
Published: (2025)
by: Hayder, Zeeshan, et al.
Published: (2025)
How Far Can We Compress Instant-NGP-Based NeRF?
by: Chen, Yihang, et al.
Published: (2024)
by: Chen, Yihang, et al.
Published: (2024)
Balancing Stability and Plasticity in Sequentially Trained Early-Exiting Neural Networks
by: Zniber, Alaa, et al.
Published: (2026)
by: Zniber, Alaa, et al.
Published: (2026)
Activation Function Design Sustains Plasticity in Continual Learning
by: Lillo, Lute, et al.
Published: (2025)
by: Lillo, Lute, et al.
Published: (2025)
A Deeper Look into Second-Order Feature Aggregation for LiDAR Place Recognition
by: Rahman, Saimunur, et al.
Published: (2024)
by: Rahman, Saimunur, et al.
Published: (2024)
HAC++: Towards 100X Compression of 3D Gaussian Splatting
by: Chen, Yihang, et al.
Published: (2025)
by: Chen, Yihang, et al.
Published: (2025)
CG-CNN: Self-Supervised Feature Extraction Through Contextual Guidance and Transfer Learning
by: Kursun, Olcay, et al.
Published: (2021)
by: Kursun, Olcay, et al.
Published: (2021)
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression
by: Chen, Yihang, et al.
Published: (2024)
by: Chen, Yihang, et al.
Published: (2024)
Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment
by: Huang, Tengjun
Published: (2024)
by: Huang, Tengjun
Published: (2024)
MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing
by: Kadambi, Shreya, et al.
Published: (2025)
by: Kadambi, Shreya, et al.
Published: (2025)
Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning
by: Theofilou, Paraskevi-Antonia, et al.
Published: (2025)
by: Theofilou, Paraskevi-Antonia, et al.
Published: (2025)
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency
by: Chen, Yuhong, et al.
Published: (2024)
by: Chen, Yuhong, et al.
Published: (2024)
MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation
by: Crête, Simon Joseph Clément, et al.
Published: (2025)
by: Crête, Simon Joseph Clément, et al.
Published: (2025)
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning
by: Milanfar, Peyman, et al.
Published: (2024)
by: Milanfar, Peyman, et al.
Published: (2024)
Similar Items
-
Erasing Undesirable Influence in Diffusion Models
by: Wu, Jing, et al.
Published: (2024) -
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
by: Wu, Jing, et al.
Published: (2024) -
Learning from Noisy Labels with Contrastive Co-Transformer
by: Han, Yan, et al.
Published: (2025) -
Curvature Learning for Generalization of Hyperbolic Neural Networks
by: Fan, Xiaomeng, et al.
Published: (2025) -
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
by: Lee, Juntae, et al.
Published: (2025)