Pushing the Limits of Distillation-Based Continual Learning via Classifier-Proximal Lightweight Plugins
Fuente:
arXiv
Guardado en:
| Autores principales: | Xu, Zhiming, Xu, Baile, Zhao, Jian, Shen, Furao, Yang, Suorong |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Towards Realistic Class-Incremental Learning with Free-Flow Increments
por: Xu, Zhiming, et al.
Publicado: (2026)
por: Xu, Zhiming, et al.
Publicado: (2026)
Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental Learning
por: Xu, Zhiming, et al.
Publicado: (2024)
por: Xu, Zhiming, et al.
Publicado: (2024)
RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment
por: Yang, Suorong, et al.
Publicado: (2025)
por: Yang, Suorong, et al.
Publicado: (2025)
Physics-inspired Energy Transition Neural Network for Sequence Learning
por: Wu, Zhou, et al.
Publicado: (2025)
por: Wu, Zhou, et al.
Publicado: (2025)
Data Agent: Learning to Select Data via End-to-End Dynamic Optimization
por: Yang, Suorong, et al.
Publicado: (2026)
por: Yang, Suorong, et al.
Publicado: (2026)
Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning
por: Yang, Suorong, et al.
Publicado: (2025)
por: Yang, Suorong, et al.
Publicado: (2025)
When Dynamic Data Selection Meets Data Augmentation
por: Yang, Suorong, et al.
Publicado: (2025)
por: Yang, Suorong, et al.
Publicado: (2025)
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
por: Yang, Suorong, et al.
Publicado: (2024)
por: Yang, Suorong, et al.
Publicado: (2024)
Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
por: Guo, Suhan, et al.
Publicado: (2025)
por: Guo, Suhan, et al.
Publicado: (2025)
Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
por: Yi, Huiyu, et al.
Publicado: (2026)
por: Yi, Huiyu, et al.
Publicado: (2026)
Beyond What to Select: A Plug-and-play Oscillatory Data-Volume Scheduling for Efficient Model Training
por: Yang, Suorong, et al.
Publicado: (2026)
por: Yang, Suorong, et al.
Publicado: (2026)
ConceptFlow: Hierarchical and Fine-grained Concept-Based Explanation for Convolutional Neural Networks
por: Mu, Xinyu, et al.
Publicado: (2025)
por: Mu, Xinyu, et al.
Publicado: (2025)
T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation
por: Guo, Suhan, et al.
Publicado: (2026)
por: Guo, Suhan, et al.
Publicado: (2026)
AffineLens: Capturing the Continuous Piecewise Affine Functions of Neural Networks
por: Wei, Yi, et al.
Publicado: (2026)
por: Wei, Yi, et al.
Publicado: (2026)
On-the-Fly Data Augmentation via Gradient-Guided and Sample-Aware Influence Estimation
por: Yang, Suorong, et al.
Publicado: (2025)
por: Yang, Suorong, et al.
Publicado: (2025)
Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation
por: Li, Jie, et al.
Publicado: (2026)
por: Li, Jie, et al.
Publicado: (2026)
Region Seeding via Pre-Activation Regularization: A Geometric View of Piecewise Affine Neural Networks
por: Wei, Yi, et al.
Publicado: (2026)
por: Wei, Yi, et al.
Publicado: (2026)
SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models
por: Guo, Suhan, et al.
Publicado: (2025)
por: Guo, Suhan, et al.
Publicado: (2025)
Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement Learning
por: Hao, Chenjie, et al.
Publicado: (2025)
por: Hao, Chenjie, et al.
Publicado: (2025)
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
por: Tu, Dunwei, et al.
Publicado: (2025)
por: Tu, Dunwei, et al.
Publicado: (2025)
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
por: Li, Feifei, et al.
Publicado: (2024)
por: Li, Feifei, et al.
Publicado: (2024)
Continuous Limits of Coupled Flows in Representation Learning
por: Li, Zilin, et al.
Publicado: (2026)
por: Li, Zilin, et al.
Publicado: (2026)
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting
por: Guo, Suhan, et al.
Publicado: (2024)
por: Guo, Suhan, et al.
Publicado: (2024)
Optimizing Parking Space Classification: Distilling Ensembles into Lightweight Classifiers
por: Alves, Paulo Luza, et al.
Publicado: (2024)
por: Alves, Paulo Luza, et al.
Publicado: (2024)
IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation
por: Yang, Suorong, et al.
Publicado: (2025)
por: Yang, Suorong, et al.
Publicado: (2025)
LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
por: Song, Siqing, et al.
Publicado: (2026)
por: Song, Siqing, et al.
Publicado: (2026)
Explaining Model Overfitting in CNNs via GMM Clustering
por: Dou, Hui, et al.
Publicado: (2024)
por: Dou, Hui, et al.
Publicado: (2024)
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
por: Yang, Suorong, et al.
Publicado: (2024)
por: Yang, Suorong, et al.
Publicado: (2024)
Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer
por: Xu, Longtao, et al.
Publicado: (2026)
por: Xu, Longtao, et al.
Publicado: (2026)
Dynamic Participation in Federated Learning: Benchmarks and a Knowledge Pool Plugin
por: Lee, Ming-Lun, et al.
Publicado: (2025)
por: Lee, Ming-Lun, et al.
Publicado: (2025)
Tripartite-GraphRAG via Plugin Ontologies
por: Banf, Michael, et al.
Publicado: (2025)
por: Banf, Michael, et al.
Publicado: (2025)
Pushing the Limits of Inverse Lithography with Generative Reinforcement Learning
por: Yang, Haoyu, et al.
Publicado: (2026)
por: Yang, Haoyu, et al.
Publicado: (2026)
Proximal Policy Distillation
por: Spigler, Giacomo
Publicado: (2024)
por: Spigler, Giacomo
Publicado: (2024)
Pushing the Limits of Large Language Model Quantization via the Linearity Theorem
por: Malinovskii, Vladimir, et al.
Publicado: (2024)
por: Malinovskii, Vladimir, et al.
Publicado: (2024)
Generalist Graph Anomaly Detection via Prototype-Based Distillation
por: Xu, Yiming, et al.
Publicado: (2026)
por: Xu, Yiming, et al.
Publicado: (2026)
GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing
por: Xu, Yang, et al.
Publicado: (2025)
por: Xu, Yang, et al.
Publicado: (2025)
Low-redundancy Distillation for Continual Learning
por: Liu, RuiQi, et al.
Publicado: (2023)
por: Liu, RuiQi, et al.
Publicado: (2023)
Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory
por: Xue, Huiyan, et al.
Publicado: (2025)
por: Xue, Huiyan, et al.
Publicado: (2025)
Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning
por: Yoo, Jason, et al.
Publicado: (2024)
por: Yoo, Jason, et al.
Publicado: (2024)
UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES Alignment
por: Zeng, Kaipeng, et al.
Publicado: (2024)
por: Zeng, Kaipeng, et al.
Publicado: (2024)
Ejemplares similares
-
Towards Realistic Class-Incremental Learning with Free-Flow Increments
por: Xu, Zhiming, et al.
Publicado: (2026) -
Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental Learning
por: Xu, Zhiming, et al.
Publicado: (2024) -
RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment
por: Yang, Suorong, et al.
Publicado: (2025) -
Physics-inspired Energy Transition Neural Network for Sequence Learning
por: Wu, Zhou, et al.
Publicado: (2025) -
Data Agent: Learning to Select Data via End-to-End Dynamic Optimization
por: Yang, Suorong, et al.
Publicado: (2026)