:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Gyuhak, Xiao, Changnan, Konishi, Tatsuya, Ke, Zixuan, Liu, Bing
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2304.10038
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
by: Momeni, Saleh, et al.
Published: (2025)

A Unified and General Framework for Continual Learning
by: Wang, Zhenyi, et al.
Published: (2024)

Uncertainty Quantification in Continual Open-World Learning
by: Rios, Amanda S., et al.
Published: (2024)

Learning Equi-angular Representations for Online Continual Learning
by: Seo, Minhyuk, et al.
Published: (2024)

Open-CRB: Towards Open World Active Learning for 3D Object Detection
by: Chen, Zhuoxiao, et al.
Published: (2023)

Continual Learning: Applications and the Road Forward
by: Verwimp, Eli, et al.
Published: (2023)

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning
by: Hong, Kiseong, et al.
Published: (2025)

Multi-Level Knowledge Distillation and Dynamic Self-Supervised Learning for Continual Learning
by: Kim, Taeheon, et al.
Published: (2025)

Beyond the Known: Adversarial Autoencoders in Novelty Detection
by: Asad, Muhammad, et al.
Published: (2024)

Continual Learning Using a Kernel-Based Method Over Foundation Models
by: Momeni, Saleh, et al.
Published: (2024)

Unified Continuous Generative Models
by: Sun, Peng, et al.
Published: (2025)

Parabolic Continual Learning
by: Yang, Haoming, et al.
Published: (2025)

Learning with Preserving for Continual Multitask Learning
by: Wang, Hanchen David, et al.
Published: (2025)

Deep Active Learning in the Open World
by: Xie, Tian, et al.
Published: (2024)

FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
by: Yu, Xiaobing, et al.
Published: (2025)

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

Learning without Isolation: Pathway Protection for Continual Learning
by: Chen, Zhikang, et al.
Published: (2025)

Domain Generalizable Continual Learning
by: Yan, Hongwei, et al.
Published: (2025)

Elastic Weight Consolidation Done Right for Continual Learning
by: Liu, Xuan, et al.
Published: (2026)

Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets
by: Greer, Ross, et al.
Published: (2024)

Soft-TransFormers for Continual Learning
by: Kang, Haeyong, et al.
Published: (2024)

Slowing Down Forgetting in Continual Learning
by: Janetzky, Pascal, et al.
Published: (2024)

On the Computation of the Fisher Information in Continual Learning
by: van de Ven, Gido M.
Published: (2025)

Scalable Strategies for Continual Learning with Replay
by: Hickok, Truman
Published: (2025)

Continual Hyperbolic Learning of Instances and Classes
by: Ayoughi, Melika, et al.
Published: (2025)

Towards Cross-Domain Continual Learning
by: de Carvalho, Marcus, et al.
Published: (2024)

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization
by: Fontana, Federico, et al.
Published: (2025)

IDER: IDempotent Experience Replay for Reliable Continual Learning
by: Liu, Zhanwang, et al.
Published: (2026)

Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
by: Kim, Sungyeon, et al.
Published: (2023)

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

Continual Adaptation of Vision Transformers for Federated Learning
by: Halbe, Shaunak, et al.
Published: (2023)

Continual Learning of Diffusion Models with Generative Distillation
by: Masip, Sergi, et al.
Published: (2023)

Natural Gradient Descent for Online Continual Learning
by: Khawand, Joe, et al.
Published: (2026)

Is Continual Learning Ready for Real-world Challenges?
by: Kontogianni, Theodora, et al.
Published: (2024)

Provable Contrastive Continual Learning
by: Wen, Yichen, et al.
Published: (2024)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
by: Wang, Zhenyi, et al.
Published: (2023)

LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
by: Liu, Xuan, et al.
Published: (2025)

Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning
by: Heidari, Marzi, et al.
Published: (2024)

Activation Function Design Sustains Plasticity in Continual Learning
by: Lillo, Lute, et al.
Published: (2025)

STAR: Stability-Inducing Weight Perturbation for Continual Learning
by: Eskandar, Masih, et al.
Published: (2025)