Continual Learning by Three-Phase Consolidation
Fuente:
arXiv
Guardado en:
| Autores principales: | Maltoni, Davide, Pellegrini, Lorenzo |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Detecting Localized Deepfakes: How Well Do Synthetic Image Detectors Handle Inpainting?
por: Pandolfini, Serafino, et al.
Publicado: (2025)
por: Pandolfini, Serafino, et al.
Publicado: (2025)
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
por: Taylor, Cameron, et al.
Publicado: (2024)
por: Taylor, Cameron, et al.
Publicado: (2024)
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
por: Khan, Hikmat, et al.
Publicado: (2024)
por: Khan, Hikmat, et al.
Publicado: (2024)
Elastic Weight Consolidation Done Right for Continual Learning
por: Liu, Xuan, et al.
Publicado: (2026)
por: Liu, Xuan, et al.
Publicado: (2026)
Forget Less by Learning Together through Concept Consolidation
por: Kaushik, Arjun Ramesh, et al.
Publicado: (2026)
por: Kaushik, Arjun Ramesh, et al.
Publicado: (2026)
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning
por: Liu, Geng, et al.
Publicado: (2025)
por: Liu, Geng, et al.
Publicado: (2025)
ProtoAda: Prototype-Guided Adaptive Adapter Expansion and Geometric Consolidation for Multimodal Continual Instruction Tuning
por: Shi, Yu-Cheng, et al.
Publicado: (2026)
por: Shi, Yu-Cheng, et al.
Publicado: (2026)
Generalized Design Choices for Deepfake Detectors
por: Pellegrini, Lorenzo, et al.
Publicado: (2025)
por: Pellegrini, Lorenzo, et al.
Publicado: (2025)
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
por: Zhou, Da-Wei, et al.
Publicado: (2024)
por: Zhou, Da-Wei, et al.
Publicado: (2024)
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
por: Magistri, Simone, et al.
Publicado: (2024)
por: Magistri, Simone, et al.
Publicado: (2024)
$\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation
por: Santos, Saul, et al.
Publicado: (2025)
por: Santos, Saul, et al.
Publicado: (2025)
AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection
por: Pellegrini, Lorenzo, et al.
Publicado: (2025)
por: Pellegrini, Lorenzo, et al.
Publicado: (2025)
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
por: Menabue, Martin, et al.
Publicado: (2024)
por: Menabue, Martin, et al.
Publicado: (2024)
Wake-Sleep Consolidated Learning
por: Sorrenti, Amelia, et al.
Publicado: (2023)
por: Sorrenti, Amelia, et al.
Publicado: (2023)
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner
por: Nie, Qiang, et al.
Publicado: (2024)
por: Nie, Qiang, et al.
Publicado: (2024)
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
por: Bugarin, Nikola, et al.
Publicado: (2024)
por: Bugarin, Nikola, et al.
Publicado: (2024)
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis
por: Maracani, Andrea, et al.
Publicado: (2024)
por: Maracani, Andrea, et al.
Publicado: (2024)
Consolidating Attention Features for Multi-view Image Editing
por: Patashnik, Or, et al.
Publicado: (2024)
por: Patashnik, Or, et al.
Publicado: (2024)
Continuous Subspace Optimization for Continual Learning
por: Cheng, Quan, et al.
Publicado: (2025)
por: Cheng, Quan, et al.
Publicado: (2025)
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
por: Zhang, Qifan, et al.
Publicado: (2024)
por: Zhang, Qifan, et al.
Publicado: (2024)
Remembering Transformer for Continual Learning
por: Sun, Yuwei, et al.
Publicado: (2024)
por: Sun, Yuwei, et al.
Publicado: (2024)
Prompt Customization for Continual Learning
por: Dai, Yong, et al.
Publicado: (2024)
por: Dai, Yong, et al.
Publicado: (2024)
Adapt before Continual Learning
por: Lu, Aojun, et al.
Publicado: (2025)
por: Lu, Aojun, et al.
Publicado: (2025)
Forward-Only Continual Learning
por: Chen, Jiao, et al.
Publicado: (2025)
por: Chen, Jiao, et al.
Publicado: (2025)
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
por: Hsu, Kyle, et al.
Publicado: (2024)
por: Hsu, Kyle, et al.
Publicado: (2024)
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets
por: Brigato, Lorenzo, et al.
Publicado: (2024)
por: Brigato, Lorenzo, et al.
Publicado: (2024)
Learning to Predict Gradients for Semi-Supervised Continual Learning
por: Luo, Yan, et al.
Publicado: (2022)
por: Luo, Yan, et al.
Publicado: (2022)
Continual Learning on a Data Diet
por: Yildirim, Elif Ceren Gok, et al.
Publicado: (2024)
por: Yildirim, Elif Ceren Gok, et al.
Publicado: (2024)
Vector Quantization Prompting for Continual Learning
por: Jiao, Li, et al.
Publicado: (2024)
por: Jiao, Li, et al.
Publicado: (2024)
Retrospective Feature Estimation for Continual Learning
por: Nguyen, Nghia D., et al.
Publicado: (2024)
por: Nguyen, Nghia D., et al.
Publicado: (2024)
Revisiting Supervision for Continual Representation Learning
por: Marczak, Daniel, et al.
Publicado: (2023)
por: Marczak, Daniel, et al.
Publicado: (2023)
A Faster Path to Continual Learning
por: Li, Wei, et al.
Publicado: (2026)
por: Li, Wei, et al.
Publicado: (2026)
Overcoming the Stability Gap in Continual Learning
por: Harun, Md Yousuf, et al.
Publicado: (2023)
por: Harun, Md Yousuf, et al.
Publicado: (2023)
AdaCL:Adaptive Continual Learning
por: Yildirim, Elif Ceren Gok, et al.
Publicado: (2023)
por: Yildirim, Elif Ceren Gok, et al.
Publicado: (2023)
Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
por: Vladymyrov, Max, et al.
Publicado: (2023)
por: Vladymyrov, Max, et al.
Publicado: (2023)
Learning in the Null Space: Small Singular Values for Continual Learning
por: Pham, Cuong Anh, et al.
Publicado: (2026)
por: Pham, Cuong Anh, et al.
Publicado: (2026)
Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images
por: Zhu, Aiqing, et al.
Publicado: (2025)
por: Zhu, Aiqing, et al.
Publicado: (2025)
Densely Distilling Cumulative Knowledge for Continual Learning
por: Shi, Zenglin, et al.
Publicado: (2024)
por: Shi, Zenglin, et al.
Publicado: (2024)
Adapter-Enhanced Semantic Prompting for Continual Learning
por: Yin, Baocai, et al.
Publicado: (2024)
por: Yin, Baocai, et al.
Publicado: (2024)
Semantic Prompting with Image-Token for Continual Learning
por: Han, Jisu, et al.
Publicado: (2024)
por: Han, Jisu, et al.
Publicado: (2024)
Ejemplares similares
-
Detecting Localized Deepfakes: How Well Do Synthetic Image Detectors Handle Inpainting?
por: Pandolfini, Serafino, et al.
Publicado: (2025) -
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
por: Taylor, Cameron, et al.
Publicado: (2024) -
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
por: Khan, Hikmat, et al.
Publicado: (2024) -
Elastic Weight Consolidation Done Right for Continual Learning
por: Liu, Xuan, et al.
Publicado: (2026) -
Forget Less by Learning Together through Concept Consolidation
por: Kaushik, Arjun Ramesh, et al.
Publicado: (2026)