Copertina

What is the role of memorization in Continual Learning?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kozal, Jędrzej, Wasilewski, Jan, Ashrafee, Alif, Krawczyk, Bartosz, Woźniak, Michał
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Holistic Continual Learning under Concept Drift with Adaptive Memory Realignment
di: Ashrafee, Alif, et al.
Pubblicazione: (2025)

Continual Learning with Weight Interpolation
di: Kozal, Jędrzej, et al.
Pubblicazione: (2024)

A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
di: Svoboda, Radek, et al.
Pubblicazione: (2023)

Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning
di: Xu, Hongye, et al.
Pubblicazione: (2024)

Unlearning-based sliding window for continual learning under concept drift
di: Wozniak, Michal, et al.
Pubblicazione: (2026)

Evaluation of Multi- and Single-objective Learning Algorithms for Imbalanced Data
di: Wojciechowski, Szymon, et al.
Pubblicazione: (2025)

$F_β$-plot -- a visual tool for evaluating imbalanced data classifiers
di: Wojciechowski, Szymon, et al.
Pubblicazione: (2024)

On the role of memorization in learned priors for geophysical inverse problems
di: Siahkoohi, Ali, et al.
Pubblicazione: (2026)

How to Protect Models against Adversarial Unlearning?
di: Jasiorski, Patryk, et al.
Pubblicazione: (2025)

Scalability of memorization-based machine unlearning
di: Zhao, Kairan, et al.
Pubblicazione: (2024)

Availability of Perfect Decomposition in Statistical Linkage Learning for Unitation-based Function Concatenations
di: Prusik, Michal, et al.
Pubblicazione: (2025)

Losing dimensions: Geometric memorization in generative diffusion
di: Achilli, Beatrice, et al.
Pubblicazione: (2024)

Measuring memorization in language models via probabilistic extraction
di: Hayes, Jamie, et al.
Pubblicazione: (2024)

Mixture of Parrots: Experts improve memorization more than reasoning
di: Jelassi, Samy, et al.
Pubblicazione: (2024)

Climbing the label tree: Hierarchy-preserving contrastive learning for medical imaging
di: Khan, Alif Elham
Pubblicazione: (2025)

FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
di: Książek, Kamil, et al.
Pubblicazione: (2025)

Characterizing WebGPU Dispatch Overhead for LLM Inference Across Four GPU Vendors, Three Backends, and Three Browsers
di: Maczan, Jędrzej
Pubblicazione: (2026)

Measuring memorization in RLHF for code completion
di: Pappu, Aneesh, et al.
Pubblicazione: (2024)

Short window attention enables long-term memorization
di: Cabannes, Loïc, et al.
Pubblicazione: (2025)

Molecules Meet Language: Confound-Aware Representation Learning and Chemical Property Steering in Transformer-VAE Latent Spaces
di: Elabid, Zakaria, et al.
Pubblicazione: (2026)

A mathematical theory of balancing relational generalization and memorization
di: Cheng, Luke, et al.
Pubblicazione: (2026)

Adynamical systems view of training generativemodels and the memorization phenomenon
di: Athreya, Siva, et al.
Pubblicazione: (2026)

PATE-TabTransGAN: Differentially Private Synthetic Tabular Data Generation via Transformer-Based Student Discrimination
di: Youssef, M., et al.
Pubblicazione: (2026)

Wasserstein proximal operators describe score-based generative models and resolve memorization
di: Zhang, Benjamin J., et al.
Pubblicazione: (2024)

The Impact of Bootstrap Sampling Rate on Random Forest Performance in Regression Tasks
di: Iwaniuk, Michał, et al.
Pubblicazione: (2025)

Comparative Analysis of Custom CNN Architectures versus Pre-trained Models and Transfer Learning: A Study on Five Bangladesh Datasets
di: Tanvir, Ibrahim, et al.
Pubblicazione: (2026)

One Global Model, Many Behaviors: Stockout-Aware Feature Engineering and Dynamic Scaling for Multi-Horizon Retail Demand Forecasting with a Cost-Aware Ordering Policy (VN2 Winner Report)
di: Szabłowski, Bartosz
Pubblicazione: (2026)

What Does Flow Matching Bring To TD Learning?
di: Agrawalla, Bhavya, et al.
Pubblicazione: (2026)

Dataset distillation for memorized data: Soft labels can leak held-out teacher knowledge
di: Behrens, Freya, et al.
Pubblicazione: (2025)

Resource-Constrained Federated Continual Learning: What Does Matter?
di: Li, Yichen, et al.
Pubblicazione: (2025)

Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data
di: Qayyum, Alif Bin Abdul, et al.
Pubblicazione: (2024)

Deep sequence models tend to memorize geometrically; it is unclear why
di: Noroozizadeh, Shahriar, et al.
Pubblicazione: (2025)

To grok or not to grok: Disentangling generalization and memorization on corrupted algorithmic datasets
di: Doshi, Darshil, et al.
Pubblicazione: (2023)

Learning Continually by Spectral Regularization
di: Lewandowski, Alex, et al.
Pubblicazione: (2024)

Can Artificial Intelligence Trade the Stock Market?
di: Maskiewicz, Jędrzej, et al.
Pubblicazione: (2025)

Enhancing Diabetic Retinopathy Diagnosis: A Lightweight CNN Architecture for Efficient Exudate Detection in Retinal Fundus Images
di: Alif, Mujadded Al Rabbani
Pubblicazione: (2024)

Exploring prompts to elicit memorization in masked language model-based named entity recognition
di: Xia, Yuxi, et al.
Pubblicazione: (2024)

Divide and not forget: Ensemble of selectively trained experts in Continual Learning
di: Rypeść, Grzegorz, et al.
Pubblicazione: (2024)

XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese
di: Arisaputra, Panji, et al.
Pubblicazione: (2024)

BLIA: Detect model memorization in binary classification model through passive Label Inference attack
di: Khan, Mohammad Wahiduzzaman, et al.
Pubblicazione: (2025)