Imagen de Portada

Finding Structure in Continual Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shamsolmoali, Pourya, Zareapoor, Masoumeh
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Task Switching Without Forgetting via Proximal Decoupling
por: Shamsolmoali, Pourya, et al.
Publicado: (2026)

IntRec: Intent-based Retrieval with Contrastive Refinement
por: Shamsolmoali, Pourya, et al.
Publicado: (2026)

SeTformer is What You Need for Vision and Language
por: Shamsolmoali, Pourya, et al.
Publicado: (2024)

HMR-Net: Hierarchical Modular Routing for Cross-Domain Object Detection in Aerial Images
por: Shamsolmoali, Pourya, et al.
Publicado: (2026)

Fractional Correspondence Framework in Detection Transformer
por: Zareapoor, Masoumeh, et al.
Publicado: (2025)

Multi-Domain Learning with Global Expert Mapping
por: Shamsolmoali, Pourya, et al.
Publicado: (2026)

From Missing Pieces to Masterpieces: Image Completion with Context-Adaptive Diffusion
por: Shamsolmoali, Pourya, et al.
Publicado: (2025)

Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology
por: Guichemerre, Alexis, et al.
Publicado: (2024)

Learning to Judge: LLMs Designing and Applying Evaluation Rubrics
por: Siro, Clemencia, et al.
Publicado: (2026)

Text-Dependent Speaker Verification (TdSV) Challenge 2024: Team Naive System Report
por: Rostami, Amir Mohammad, et al.
Publicado: (2026)

Iteratively Refined Image Reconstruction with Learned Attentive Regularizers
por: Pourya, Mehrsa, et al.
Publicado: (2024)

Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning with a Use-Case in Resource Allocation in Communication Networks
por: Behmandpoor, Pourya, et al.
Publicado: (2023)

Boosting Hierarchical Reinforcement Learning with Meta-Learning for Complex Task Adaptation
por: Khajooeinejad, Arash, et al.
Publicado: (2024)

ITS-Mina: A Harris Hawks Optimization-Based All-MLP Framework with Iterative Refinement and External Attention for Multivariate Time Series Forecasting
por: Zamanvaziri, Pourya, et al.
Publicado: (2026)

Flower: A Flow-Matching Solver for Inverse Problems
por: Pourya, Mehrsa, et al.
Publicado: (2025)

A Deep Learning Based Resource Allocator for Communication Networks with Dynamic User Utility Demands
por: Behmandpoor, Pourya, et al.
Publicado: (2023)

Random ReLU Neural Networks as Non-Gaussian Processes
por: Parhi, Rahul, et al.
Publicado: (2024)

Structure Learning with Continuous Optimization: A Sober Look and Beyond
por: Ng, Ignavier, et al.
Publicado: (2023)

Speaker Emotion Recognition: Leveraging Self-Supervised Models for Feature Extraction Using Wav2Vec2 and HuBERT
por: Jafarzadeh, Pourya, et al.
Publicado: (2024)

Dream2Learn: Structured Generative Dreaming for Continual Learning
por: Calcagno, Salvatore, et al.
Publicado: (2026)

Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory
por: Xue, Huiyan, et al.
Publicado: (2025)

Energy-Structured Low-Rank Adaptation for Continual Learning
por: Li, Longhua, et al.
Publicado: (2026)

Memory-Statistics Tradeoff in Continual Learning with Structural Regularization
por: Li, Haoran, et al.
Publicado: (2025)

Machine Learning for Health symposium 2024 -- Findings track
por: Hegselmann, Stefan, et al.
Publicado: (2025)

Variational Learning Finds Flatter Solutions at the Edge of Stability
por: Ghosh, Avrajit, et al.
Publicado: (2025)

Continuous Parallel Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problems
por: Ichikawa, Yuma, et al.
Publicado: (2024)

Towards Neural Architecture Search for Transfer Learning in 6G Networks
por: Orucu, Adam, et al.
Publicado: (2024)

Continuous QA Learning with Structured Prompts
por: Zheng, Yinhe
Publicado: (2022)

DAG DECORation: Continuous Optimization for Structure Learning under Hidden Confounding
por: Pal, Samhita, et al.
Publicado: (2025)

Deep Learning of Continuous and Structured Policies for Aggregated Heterogeneous Treatment Effects
por: Zhang, Jennifer Y., et al.
Publicado: (2025)

CORDS: Continuous Representations of Discrete Structures
por: Veljković, Tin Hadži, et al.
Publicado: (2026)

Information as Structural Alignment: A Dynamical Theory of Continual Learning
por: Negulescu, Radu
Publicado: (2026)

DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
por: Choi, Seungyoon, et al.
Publicado: (2024)

DEALing with Image Reconstruction: Deep Attentive Least Squares
por: Pourya, Mehrsa, et al.
Publicado: (2025)

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models
por: Liang, Jinhao, et al.
Publicado: (2024)

Hyperbolic Continuous Structural Entropy for Hierarchical Clustering
por: Zeng, Guangjie, et al.
Publicado: (2025)

Beyond Retention: Orchestrating Structural Safety and Plasticity in Continual Learning for LLMs
por: Meng, Fei
Publicado: (2026)

Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning
por: Erden, Zeki Doruk, et al.
Publicado: (2024)

Federated Learning Can Find Friends That Are Advantageous
por: Tupitsa, Nazarii, et al.
Publicado: (2024)

Mathematics of Continual Learning
por: Peng, Liangzu, et al.
Publicado: (2025)