Cover Image

Modular Embedding Recomposition for Incremental Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Panariello, Aniello, Frascaroli, Emanuele, Buzzega, Pietro, Bonicelli, Lorenzo, Porrello, Angelo, Calderara, Simone
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
by: Frascaroli, Emanuele, et al.
Published: (2024)

Transporting Task Vectors across Different Architectures without Training
by: Rinaldi, Filippo, et al.
Published: (2026)

An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
by: Menabue, Martin, et al.
Published: (2024)

Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes
by: Benaglia, Riccardo, et al.
Published: (2024)

May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels
by: Millunzi, Monica, et al.
Published: (2024)

A Second-Order Perspective on Model Compositionality and Incremental Learning
by: Porrello, Angelo, et al.
Published: (2024)

Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
by: Rinaldi, Filippo, et al.
Published: (2025)

Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning
by: Mosconi, Matteo, et al.
Published: (2024)

Accurate and Efficient Low-Rank Model Merging in Core Space
by: Panariello, Aniello, et al.
Published: (2025)

Monocular Per-Object Distance Estimation with Masked Object Modeling
by: Panariello, Aniello, et al.
Published: (2024)

Is Multiple Object Tracking a Matter of Specialization?
by: Mancusi, Gianluca, et al.
Published: (2024)

Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature
by: Porrello, Angelo, et al.
Published: (2026)

Zero-Shot Synthetic-to-Real Handwritten Text Recognition via Task Analogies
by: Garrido-Munoz, Carlos, et al.
Published: (2026)

DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
by: Cappellino, Chiara, et al.
Published: (2025)

How to Train Your Metamorphic Deep Neural Network
by: Sommariva, Thomas, et al.
Published: (2025)

ABRA: Teleporting Fine-Tuned Knowledge Across Domains for Open-Vocabulary Object Detection
by: Bernardi, Mattia, et al.
Published: (2026)

Selective Attention-based Modulation for Continual Learning
by: Bellitto, Giovanni, et al.
Published: (2024)

Semantic Residual Prompts for Continual Learning
by: Menabue, Martin, et al.
Published: (2024)

PRISM: Phase-enhanced Radial-based Image Signature Mapping framework for fingerprinting AI-generated images
by: Ricco, Emanuele, et al.
Published: (2025)

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
by: Park, Min-Yeong, et al.
Published: (2024)

Latent Space Analysis for Melanoma Prevention
by: Listone, Ciro, et al.
Published: (2025)

TractoEmbed: Modular Multi-level Embedding framework for white matter tract segmentation
by: Goel, Anoushkrit, et al.
Published: (2024)

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization
by: Yang, Haodong, et al.
Published: (2025)

Federated Class-Incremental Learning with Prompting
by: Luo, Xin, et al.
Published: (2023)

Unsupervised Video Class-Incremental Learning via Deep Embedded Clustering Management
by: Kurpukdee, Nattapong, et al.
Published: (2026)

Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)

Rethinking Layer-wise Model Merging through Chain of Merges
by: Buzzega, Pietro, et al.
Published: (2025)

ACIL: Active Class Incremental Learning for Image Classification
by: Bhattacharya, Aditya R., et al.
Published: (2026)

Hierarchical Representation Matching for CLIP-based Class-Incremental Learning
by: Wen, Zhen-Hao, et al.
Published: (2025)

Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation
by: Kim, David Minkwan, et al.
Published: (2025)

Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
by: D'Alessandro, Marco, et al.
Published: (2023)

Addressing Imbalance for Class Incremental Learning in Medical Image Classification
by: Hao, Xuze, et al.
Published: (2024)

Knowledge Adaptation Network for Few-Shot Class-Incremental Learning
by: Wang, Ye, et al.
Published: (2024)

Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography
by: Bransby, Kit M., et al.
Published: (2024)

Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
by: Han, Jizhou, et al.
Published: (2025)

CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
by: Oh, Junghun, et al.
Published: (2024)

Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach
by: Togo, Taro, et al.
Published: (2024)

Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
by: Xu, Wenbo, et al.
Published: (2024)

Covariance-based Space Regularization for Few-shot Class Incremental Learning
by: Hu, Yijie, et al.
Published: (2024)

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need
by: Wang, Qiang, et al.
Published: (2025)