Continual Learning

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Di Wu, Hongwei Wang, Wenhao Yu et al.

A Unified and General Framework for Continual Learning

Zhenyi Wang, Yan Li, Li Shen et al.

Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning

Mohamed Elsayed, A. Rupam Mahmood

Interactive Continual Learning: Fast and Slow Thinking

Biqing Qi, Xinquan Chen, Junqi Gao et al.

Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning

XINYUAN GAO, Songlin Dong, Yuhang He et al.

Spurious Forgetting in Continual Learning of Language Models

Junhao Zheng, Xidi Cai, Shengjie Qiu et al.

Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement

Fushuo Huo, Wenchao Xu, Jingcai Guo et al.

Some Fundamental Aspects about Lipschitz Continuity of Neural Networks

Grigory Khromov, Sidak Pal Singh

Learning Equi-angular Representations for Online Continual Learning

Minhyuk Seo, Hyunseo Koh, Wonje Jeung et al.

PromptFusion: Decoupling Stability and Plasticity for Continual Learning

Haoran Chen, Zuxuan Wu, Xintong Han et al.

Improving Plasticity in Online Continual Learning via Collaborative Learning

Maorong Wang, Nicolas Michel, Ling Xiao et al.

Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning

Jinglin Liang, Jin Zhong, Hanlin Gu et al.

Class Incremental Learning via Likelihood Ratio Based Task Prediction

Haowei Lin, Yijia Shao, Weinan Qian et al.

Exemplar-free Continual Representation Learning via Learnable Drift Compensation

Alex Gomez-Villa, Dipam Goswami, Kai Wang et al.

One-stage Prompt-based Continual Learning

Youngeun Kim, YUHANG LI, Priyadarshini Panda

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.

C-CLIP: Multimodal Continual Learning for Vision-Language Model

Wenzhuo Liu, Fei Zhu, Longhui Wei et al.

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning

Yan Fan, Yu Wang, Pengfei Zhu et al.

Learning from One Continuous Video Stream

Joao Carreira, Michael King, Viorica Patraucean et al.

Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling

Minhyuk Seo, Hyunseo Koh, Jonghyun Choi

Plastic Learning with Deep Fourier Features

Alex Lewandowski, Dale Schuurmans, Marlos C. Machado

Language Guided Concept Bottleneck Models for Interpretable Continual Learning

Lu Yu, HaoYu Han, Zhe Tao et al.

BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications

Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.

Live and Learn: Continual Action Clustering with Incremental Views

Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao et al.

Strategy Coopetition Explains the Emergence and Transience of In-Context Learning

Aaditya Singh, Ted Moskovitz, Sara Dragutinović et al.

Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning

Gangwei Jiang, caigao jiang, Zhaoyi Li et al.

Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding

Depeng Li, Tianqi Wang, Junwei Chen et al.

Anytime Continual Learning for Open Vocabulary Classification

Zhen Zhu, Yiming Gong, Derek Hoiem

Towards Backward-Compatible Continual Learning of Image Compression

Zhihao Duan, Ming Lu, Justin Yang et al.

Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM

Baicheng Li, Zike Yan, Dong Wu et al.

BrainWash: A Poisoning Attack to Forget in Continual Learning

Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash et al.

Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation

Zhilin Zhu, Xiaopeng Hong, Zhiheng Ma et al.

Continual Learning Using a Kernel-Based Method Over Foundation Models

Saleh Momeni, Sahisnu Mazumder, Bing Liu

DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype

Qiang Wang, Yuhang He, Songlin Dong et al.

RCL: Reliable Continual Learning for Unified Failure Detection

Fei Zhu, Zhen Cheng, Xu-Yao Zhang et al.

Doubly Perturbed Task Free Continual Learning

Byung Hyun Lee, Min-hwan Oh, Se Young Chun

Adversarial Robust Memory-Based Continual Learner

Xiaoyue Mi, Fan Tang, Zonghan Yang et al.

KAC: Kolmogorov-Arnold Classifier for Continual Learning

Yusong Hu, Zichen Liang, Fei Yang et al.

Advancing Prompt-Based Methods for Replay-Independent General Continual Learning

Zhiqi KANG, Liyuan Wang, Xingxing Zhang et al.

STAR: Stability-Inducing Weight Perturbation for Continual Learning

Masih Eskandar, Tooba Imtiaz, Davin Hill et al.

SimCS: Simulation for Domain Incremental Online Continual Segmentation

Motasem Alfarra, Zhipeng Cai, Adel Bibi et al.

Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference

Qian Liang, Yan Chen, Yang Hu

CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning

Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman et al.

Memories of Forgotten Concepts

Matan Rusanovsky, Shimon Malnick, Amir Jevnisek et al.

Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay

Ruiheng Liu, Jinyu Zhang, Yanqi Song et al.

Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification

Hyunji Jung, Hanseul Cho, Chulhee Yun

Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization

Li, Yang Xiao, Jie Ji et al.

Predicting the Susceptibility of Examples to Catastrophic Forgetting

Guy Hacohen, Tinne Tuytelaars

CLEO: Continual Learning of Evolving Ontologies

Shishir Muralidhara, Saqib Bukhari, Georg Dr. Schneider et al.

Joint Diffusion Models in Continual Learning

Paweł Skierś, Kamil Deja

SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning

Ziqi Wang, Chang Che, Qi Wang et al.

Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters

Hongyi Wan, Shiyuan Ren, Wei Huang et al.

MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs

Ke Wang, Yiming QIN, Nikolaos Dimitriadis et al.

Recall-Oriented Continual Learning with Generative Adversarial Meta-Model

Haneol Kang, Dong-Wan Choi

See Further When Clear: Curriculum Consistency Model

Yunpeng Liu, Boxiao Liu, Yi Zhang et al.

Do Your Best and Get Enough Rest for Continual Learning

Hankyul Kang, Gregor Seifer, Donghyun Lee et al.

Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning

Trang Nguyen, Anh Tran, Nhat Ho

Learning system dynamics without forgetting

Xikun ZHANG, Dongjin Song, Yushan Jiang et al.

Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation

Chenggong Ni, Fan Lyu, Jiayao Tan et al.

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off

Song Lai, Zhe Zhao, Fei Zhu et al.

FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning

qian feng, Jiahang Tu, Mintong Kang et al.

Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning

Wei Chen, Yi Zhou

Model Uncertainty Quantification by Conformal Prediction in Continual Learning

Rui Gao, Weiwei Liu

Continuous Subspace Optimization for Continual Learning

Quan Cheng, Yuanyu Wan, Lingyu Wu et al.

Contribution of task-irrelevant stimuli to drift of neural representations

Farhad Pashakhanloo

CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models

Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun et al.

AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection

Saleh Momeni, Changnan Xiao, Bing Liu

Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints

Yuhao Zhou, Yuxin Tian, Jindi Lv et al.

The Importance of Being Lazy: Scaling Limits of Continual Learning

Jacopo Graldi, Alessandro Breccia, Giulia Lanzillotta et al.

Privacy-Aware Lifelong Learning

Ozan Özdenizci, Elmar Rueckert, Robert Legenstein

Continual Knowledge Adaptation for Reinforcement Learning

Jinwu Hu, ZiHao Lian, Zhiquan Wen et al.

Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning

Junsu Kim, Suhyun Kim

Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models

Hector Pasten, Felipe Urrutia, Hector Orellana et al.

Separating the 'what' and 'how' of compositional computation to enable reuse and continual learning

Haozhe Shan, Sun Minni, Lea Duncker

C-NAV: Towards Self-Evolving Continual Object Navigation in Open World

MingMing Yu, Fei Zhu, Wenzhuo Liu et al.

Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces

Jifeng Hu, Sili Huang, Li Shen et al.

Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning

Kai Hu, Zhang Yu, Yuan Zhang et al.

Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning

Fei Ye, Yulong Zhao, Qihe Liu et al.

Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs

Donggoo Jung, Daehyun Kim, Tae Hyun Kim

A Theory of Initialisation's Impact on Specialisation

Devon Jarvis, Sebastian Lee, Clementine Domine et al.

TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models

Liangzu Peng, Juan Elenter, Joshua Agterberg et al.

Self-Normalized Resets for Plasticity in Continual Learning

Vivek Farias, Adam Jozefiak

On the Computation of the Fisher Information in Continual Learning

Gido van de Ven

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification

Ziyue Qiao, Junren Xiao, Qingqiang Sun et al.

Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience

Brijraj Singh, Sonal, Niranjan Pedanekar

PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation

Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo

AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation

Zhidong Yu, Xiaoman Liu, Jiajun Hu et al.

Defying Imbalanced Forgetting in Class Incremental Learning

Shixiong Xu, Gaofeng Meng, Xing Nie et al.

Adaptive Discovering and Merging for Incremental Novel Class Discovery

Guangyao Chen, Peixi Peng, Yangru Huang et al.

What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection

XiaoHui Zhang, Jiangyan Yi, Chenglong Wang et al.

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum

Zhengliang Shi, Shen Gao, Minghang Zhu et al.

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning

Huiping Zhuang, Run He, Kai Tong et al.

HOP to the Next Tasks and Domains for Continual Learning in NLP

Umberto Michieli, Mete Ozay

6385 Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning

Jiangrong Shen, Wenyao Ni, Qi Xu et al.

Instance-Conditional Timescales of Decay for Nonstationary Learning

Nishant Jain, Pradeep Shenoy

Adaptive Shortcut Debiasing for Online Continual Learning

Doyoung Kim, Dongmin Park, Yooju Shin et al.

Continual Vision-Language Retrieval via Dynamic Knowledge Rectification

Zhenyu Cui, Yuxin Peng, Xun Wang et al.

Understanding and Leveraging the Learning Phases of Neural Networks

Learning Only When It Matters: Cost

Aware Long-Tailed Classification - Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye et al.

Generative Unlearning for Any Identity

Juwon Seo, Sung-Hoon Lee, Tae-Young Lee et al.