Cover Image

Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khan, Hikmat, Rasool, Ghulam, Bouaynaya, Nidhal Carla
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
by: Khan, Hikmat, et al.
Published: (2024)

SUPER-Net: Trustworthy Image Segmentation via Uncertainty Propagation in Encoder-Decoder Networks
by: Carannante, Giuseppina, et al.
Published: (2021)

Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review
by: Hartsock, Iryna, et al.
Published: (2024)

Consistent Prompting for Rehearsal-Free Continual Learning
by: Gao, Zhanxin, et al.
Published: (2024)

Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
by: Thede, Lukas, et al.
Published: (2024)

More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning
by: Yu, Wanhao, et al.
Published: (2025)

Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt
by: Wang, Aopeng, et al.
Published: (2025)

GRASP: A Rehearsal Policy for Efficient Online Continual Learning
by: Harun, Md Yousuf, et al.
Published: (2023)

Forget Less, Retain More: A Lightweight Regularizer for Rehearsal-Based Continual Learning
by: Alssum, Lama, et al.
Published: (2025)

Rehearsal-free Federated Domain-incremental Learning
by: Sun, Rui, et al.
Published: (2024)

REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
by: Jeon, Sungho, et al.
Published: (2024)

Adaptive Memory Replay for Continual Learning
by: Smith, James Seale, et al.
Published: (2024)

Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
by: Ahrens, Kyra, et al.
Published: (2023)

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning
by: Tamajo, Alberto, et al.
Published: (2026)

Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
by: Taylor, Cameron, et al.
Published: (2024)

PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
by: Ma'sum, M. Anwar, et al.
Published: (2025)

Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
by: Wang, Zhaoxin, et al.
Published: (2024)

FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification
by: Weißflog, Markus, et al.
Published: (2024)

Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
by: Dziadzio, Sebastian, et al.
Published: (2023)

Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
by: Silva, Thalles, et al.
Published: (2024)

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation
by: Angelini, Christopher, et al.
Published: (2025)

OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
by: Huang, Wei-Cheng, et al.
Published: (2024)

Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection
by: Bhatt, Gaurav, et al.
Published: (2024)

Replay-Free Continual Low-Rank Adaptation with Dynamic Memory
by: Chen, Huancheng, et al.
Published: (2024)

Memory-efficient Continual Learning with Neural Collapse Contrastive
by: Dang, Trung-Anh, et al.
Published: (2024)

Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning
by: Khan, Sarwar
Published: (2024)

Trend-Aware Fashion Recommendation with Visual Segmentation and Semantic Similarity
by: Djilani, Mohamed, et al.
Published: (2025)

Preventing Latent Rehearsal Decay in Online Continual SSL with SOLAR
by: Cignoni, Giacomo, et al.
Published: (2026)

Memory Efficient Neural Processes via Constant Memory Attention Block
by: Feng, Leo, et al.
Published: (2023)

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

Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with Outliers
by: Kong, Heejo, et al.
Published: (2025)

P2L-CA: An Effective Parameter Tuning Framework for Rehearsal-Free Multi-Label Class-Incremental Learning
by: Dong, Songlin, et al.
Published: (2026)

LightCL: Compact Continual Learning with Low Memory Footprint For Edge Device
by: Wang, Zeqing, et al.
Published: (2024)

Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning
by: Liu, Geng, et al.
Published: (2025)

Associative Memories in the Feature Space
by: Salvatori, Tommaso, et al.
Published: (2024)

Deep Clustering with Associative Memories
by: Saha, Bishwajit, et al.
Published: (2026)

BM-CL: Bias Mitigation through the lens of Continual Learning
by: Mansilla, Lucas, et al.
Published: (2025)

Continuous Adversarial Flow Models
by: Lin, Shanchuan, et al.
Published: (2026)

Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations
by: Du, Yuan, et al.
Published: (2026)

What is Memory? A Homological Perspective
by: Li, Xin
Published: (2023)