Linked Adapters: Linking Past and Future to Present for Effective Continual Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Chandra, Dupati Srikar, Srijith, P. K., Rezazadegan, Dana, McCarthy, Chris |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Integrating Present and Past in Unsupervised Continual Learning
by: Zhang, Yipeng, et al.
Published: (2024)
by: Zhang, Yipeng, et al.
Published: (2024)
Adapter-Enhanced Semantic Prompting for Continual Learning
by: Yin, Baocai, et al.
Published: (2024)
by: Yin, Baocai, et al.
Published: (2024)
A Lightweight Large Vision-language Model for Multimodal Medical Images
by: Alsinglawi, Belal, et al.
Published: (2025)
by: Alsinglawi, Belal, et al.
Published: (2025)
LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
by: Luo, Mao-Lin, et al.
Published: (2025)
by: Luo, Mao-Lin, et al.
Published: (2025)
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
by: Wang, Huiyi, et al.
Published: (2024)
by: Wang, Huiyi, et al.
Published: (2024)
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning
by: McDonnell, Mark D., et al.
Published: (2024)
by: McDonnell, Mark D., et al.
Published: (2024)
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
by: Sun, Shilin, et al.
Published: (2024)
by: Sun, Shilin, et al.
Published: (2024)
Camera-Agnostic Pruning of 3D Gaussian Splats via Descriptor-Based Beta Evidence
by: Fasogbon, Peter, et al.
Published: (2026)
by: Fasogbon, Peter, et al.
Published: (2026)
Continual Adapter Tuning with Semantic Shift Compensation for Class-Incremental Learning
by: Zhou, Qinhao, et al.
Published: (2024)
by: Zhou, Qinhao, et al.
Published: (2024)
Adapters Strike Back
by: Steitz, Jan-Martin O., et al.
Published: (2024)
by: Steitz, Jan-Martin O., et al.
Published: (2024)
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
by: Li, Hong, et al.
Published: (2024)
by: Li, Hong, et al.
Published: (2024)
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
by: Qi, Zhi-Hong, et al.
Published: (2024)
by: Qi, Zhi-Hong, et al.
Published: (2024)
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters
by: Smith, James Seale, et al.
Published: (2023)
by: Smith, James Seale, et al.
Published: (2023)
UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation
by: Duan, Lunhao, et al.
Published: (2024)
by: Duan, Lunhao, et al.
Published: (2024)
ProtoAda: Prototype-Guided Adaptive Adapter Expansion and Geometric Consolidation for Multimodal Continual Instruction Tuning
by: Shi, Yu-Cheng, et al.
Published: (2026)
by: Shi, Yu-Cheng, et al.
Published: (2026)
DAM: Dynamic Adapter Merging for Continual Video QA Learning
by: Cheng, Feng, et al.
Published: (2024)
by: Cheng, Feng, et al.
Published: (2024)
Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
by: Jiang, Bo, et al.
Published: (2025)
by: Jiang, Bo, et al.
Published: (2025)
Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images
by: Menn, Dennis, et al.
Published: (2024)
by: Menn, Dennis, et al.
Published: (2024)
Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning
by: Peng, Danni, et al.
Published: (2025)
by: Peng, Danni, et al.
Published: (2025)
Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models
by: Yang, Juncheng, et al.
Published: (2024)
by: Yang, Juncheng, et al.
Published: (2024)
One Adapter for All: Towards Unified Representation in Step-Imbalanced Class-Incremental Learning
by: Zhang, Xiaoyan, et al.
Published: (2026)
by: Zhang, Xiaoyan, et al.
Published: (2026)
EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning
by: Jiang, Yue, et al.
Published: (2024)
by: Jiang, Yue, et al.
Published: (2024)
Present and Future Generalization of Synthetic Image Detectors
by: Bernabeu-Perez, Pablo, et al.
Published: (2024)
by: Bernabeu-Perez, Pablo, et al.
Published: (2024)
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
by: Wang, Yan, et al.
Published: (2025)
by: Wang, Yan, et al.
Published: (2025)
Efficient Distillation of Classifier-Free Guidance using Adapters
by: Jensen, Cristian Perez, et al.
Published: (2025)
by: Jensen, Cristian Perez, et al.
Published: (2025)
Global Pre-fixing, Local Adjusting: A Simple yet Effective Contrastive Strategy for Continual Learning
by: Tang, Jia, et al.
Published: (2025)
by: Tang, Jia, et al.
Published: (2025)
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter
by: Guo, Zirun, et al.
Published: (2024)
by: Guo, Zirun, et al.
Published: (2024)
Decoding Future Risk: Deep Learning Analysis of Tubular Adenoma Whole-Slide Images
by: Rahu, Ahmed, et al.
Published: (2026)
by: Rahu, Ahmed, et al.
Published: (2026)
AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers
by: Khazem, Salim
Published: (2026)
by: Khazem, Salim
Published: (2026)
Training-Free Synthetic Data Generation with Dual IP-Adapter Guidance
by: Boudier, Luc, et al.
Published: (2025)
by: Boudier, Luc, et al.
Published: (2025)
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
by: Dong, Wei, et al.
Published: (2023)
by: Dong, Wei, et al.
Published: (2023)
BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation
by: Morales-Álvarez, Pablo, et al.
Published: (2024)
by: Morales-Álvarez, Pablo, et al.
Published: (2024)
Noise-Tolerant Few-Shot Unsupervised Adapter for Vision-Language Models
by: Ali, Eman, et al.
Published: (2023)
by: Ali, Eman, et al.
Published: (2023)
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
by: Li, Jiashuo, et al.
Published: (2024)
by: Li, Jiashuo, et al.
Published: (2024)
A Scalable Machine Learning Pipeline for Building Footprint Detection in Historical Maps
by: McCarthy, Annemarie
Published: (2025)
by: McCarthy, Annemarie
Published: (2025)
Continuous Subspace Optimization for Continual Learning
by: Cheng, Quan, et al.
Published: (2025)
by: Cheng, Quan, et al.
Published: (2025)
Linking spatial biology and clinical histology via Haiku
by: Cui, Yan, et al.
Published: (2026)
by: Cui, Yan, et al.
Published: (2026)
Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery
by: Ye, Bo, et al.
Published: (2026)
by: Ye, Bo, et al.
Published: (2026)
Neural Radiance Fields: Past, Present, and Future
by: Mittal, Ansh
Published: (2023)
by: Mittal, Ansh
Published: (2023)
A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning
by: Zhou, Yiyun, et al.
Published: (2026)
by: Zhou, Yiyun, et al.
Published: (2026)
Similar Items
-
Integrating Present and Past in Unsupervised Continual Learning
by: Zhang, Yipeng, et al.
Published: (2024) -
Adapter-Enhanced Semantic Prompting for Continual Learning
by: Yin, Baocai, et al.
Published: (2024) -
A Lightweight Large Vision-language Model for Multimodal Medical Images
by: Alsinglawi, Belal, et al.
Published: (2025) -
LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
by: Luo, Mao-Lin, et al.
Published: (2025) -
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
by: Wang, Huiyi, et al.
Published: (2024)