Cover Image

Continual Learning with Weight Interpolation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kozal, Jędrzej, Wasilewski, Jan, Krawczyk, Bartosz, Woźniak, Michał
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What is the role of memorization in Continual Learning?
by: Kozal, Jędrzej, et al.
Published: (2025)

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

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

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

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

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

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

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

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

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

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

chebgreen: Learning and Interpolating Continuous Empirical Green's Functions from Data
by: Praveen, Harshwardhan, et al.
Published: (2025)

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

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

EVCL: Elastic Variational Continual Learning with Weight Consolidation
by: Batra, Hunar, et al.
Published: (2024)

Attention-Based Learning for Fluid State Interpolation and Editing in a Time-Continuous Framework
by: Roy, Bruno
Published: (2024)

Revisiting Weight Regularization for Low-Rank Continual Learning
by: Zheng, Yaoyue, et al.
Published: (2026)

Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data
by: Liu, Xiaotong, et al.
Published: (2024)

Learning Straight Flows by Learning Curved Interpolants
by: Shankar, Shiv, et al.
Published: (2025)

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

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
by: Nagalapatti, Lokesh, et al.
Published: (2024)

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)
by: Szabłowski, Bartosz
Published: (2026)

Weight Clipping for Deep Continual and Reinforcement Learning
by: Elsayed, Mohamed, et al.
Published: (2024)

Sample Weight Estimation Using Meta-Updates for Online Continual Learning
by: Hemati, Hamed, et al.
Published: (2024)

Elastic Weight Consolidation for Knowledge Graph Continual Learning: An Empirical Evaluation
by: Jhajj, Gaganpreet, et al.
Published: (2025)

Automatic Constraint Policy Optimization based on Continuous Constraint Interpolation Framework for Offline Reinforcement Learning
by: Han, Xinchen, et al.
Published: (2026)

Multitask Learning with Stochastic Interpolants
by: Negrel, Hugo, et al.
Published: (2025)

Learning to Forget: Continual Learning with Adaptive Weight Decay
by: Ramesh, Aditya A., et al.
Published: (2026)

Continuous Language Model Interpolation for Dynamic and Controllable Text Generation
by: Kangaslahti, Sara, et al.
Published: (2024)

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

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
by: Oh, Changdae, et al.
Published: (2024)

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

How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
by: Buzaglo, Gon, et al.
Published: (2024)

ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks
by: Saini, Dhruv, et al.
Published: (2026)

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

Channel Balance Interpolation in the Lightning Network via Machine Learning
by: Davis, Vincent, et al.
Published: (2024)

Noisy Interpolation Learning with Shallow Univariate ReLU Networks
by: Joshi, Nirmit, et al.
Published: (2023)

Latent Stochastic Interpolants
by: Singh, Saurabh, et al.
Published: (2025)

Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization
by: Wang, Yutong, et al.
Published: (2024)

ProPML: Probability Partial Multi-label Learning
by: Struski, Łukasz, et al.
Published: (2024)