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Learning Neural Models for Natural Language Processing in the Face of Distributional ShiftPreprint

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Incremental Learning in Multiple Limb Positions for Electromyography-Based Gesture Recognition using Hyperdimensional ComputingPreprint

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Intrusion Detection in IoT Network using Few-Shot Class Incremental Learning

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Incremental learning for rainfall-runoff simulation on deep neural networksPreprint

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Overcoming Domain Drift in Online Continual LearningPreprint

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Boosting separated softmax with discrimination for class incremental learning

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Class Incremental Learning Based on Playback Images Generated by Classification Network

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SAFA: Lifelong Person Re-Identification learning by statistics-aware feature alignment

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Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection

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A Sequential Experience Network Based Continual Learning for Air Crisis Event Recognition

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Overcoming Catastrophic Forgetting in Federated Continual Graph Learning for Resource-Limited Mobile Devices

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Model-Driven Meta-Learning-Aided Fast Beam Prediction in Millimeter-Wave Communications

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Invariant prompting with classifier rectification for continual learning

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DPAO-PFL: Dynamic Parameter-Aware Optimization via Continual Learning for Personalized Federated Learning

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Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization

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Incremental Land Cover Classification via Soft Label and Subregion Distillation

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Specific Emitter Identification by Edge Pattern Detection and Incremental Open-World Learning

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Adaptive Incremental Learning for Robust X-Ray Threat Detection in Dynamic Operational Environments

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Scalable Object Detection in Mixed Reality Using Incremental Re-Training and One-Shot 3D Annotation

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Adaptive Momentum Mixture-of-Experts for Continual Visual Question Answering

Huai, T., Zhou, J., Chen, Q., Bai, Q., Zhou, Z., Qiu, X., & He, L. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3637303 · Cited by 1

Uncertainty-Aware Domain Incremental Learning for Gesture Recognition in Robotic IoT Systems

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Interactive Graph-Based Distillation Integrated Meta-Learning Network for Hyperspectral Image Incremental Classification

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Cross-Domain Incremental Image Classification via Domain-Specific Prototypes and Contrastive Learning

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Continual learning-enabled probabilistic PLS for adaptive multimode quality-related process monitoring

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Filter Bank Networks for Few-Shot Class-Incremental Learning

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Opportunities and challenges of explainable artificial intelligence in medicine

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Continually-Adapted Margin and Multi-Anchor Distillation for Class-Incremental Learning

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OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams

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Sparse and Expandable Network for Google's Pathways

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Continual Reinforcement Learning Without Replay Buffers

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Combining replay and LoRA for continual learning in natural language understanding

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Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning

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POET: Prompt Offset Tuning for Continual Human Action Adaptation

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SRIL: Selective Regularization for Class-Incremental Learning

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Recognition of Structural Components and Surface Damage Using Regularization‐Based Continual Learning

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Continual Learning With Quasi-Newton Methods

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Balancing Plasticity and Stability via Dual-Branch Learning in Online Continual Learning

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Incremental and Decremental Continual Learning for Privacy-Preserving Video Recognition

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Flashbacks to harmonize stability and plasticity in continual learning

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Prototypes as Anchors: Tackling Unseen Noise for online continual learning

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Learning never stops: Improving software vulnerability type identification via incremental learning

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PVBF: A framework for mitigating parameter variation imbalance in online continual learning

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Efficient and Robust Continual Graph Learning for Graph Classification in Biology

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Rethinking softmax in incremental learning

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From task-aware to task-agnostic parameter isolation for incremental learning

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Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection

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FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments

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Online Continual Learning via the Feature Enhancement Network

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Spatial–Temporal Side Adaptation with Difference-based Frame Selector for video class-incremental learning

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Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN)

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Multimodal Incremental Learning via Knowledge Distillation in License Classification Tasks

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Non-exemplar Class-incremental Learning via Dual Augmentation and Dual Distillation

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Style Expansion Without Forgetting for Handwritten Character Recognition

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R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning

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Integrating Curricula with Replays: Its Effects on Continual Learning

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ESA: Expert-and-Samples-Aware Incremental Learning Under Longtail Distribution

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Overcomplete-to-sparse representation learning for few-shot class-incremental learning

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Explicit Model Memorisation to Fight Forgetting in Time-series Prediction

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Experimental study of rehearsal-based incremental classification of document streams

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Leveraging Task-Specific VAEs for Efficient Exemplar Generation in HAR

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BACS: Background Aware Continual Semantic Segmentation

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Multi-strategy continual learning for knowledge refinement and consolidation

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Consistent representation joint adaptive adjustment for incremental zero-shot learning

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High-Level Attention Meta-Learner for Class Incremental Learning

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Flat Local Minima for Continual Learning on Semantic Segmentation

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Masked Autoencoders are Parameter-Efficient Federated Continual Learners

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NCAdapt: Dynamic Adaptation with Domain-Specific Neural Cellular Automata for Continual Hippocampus Segmentation

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CAGO-ECIL: Cloud-Assisted Genetic Optimization for Edge-Class Incremental Learning with training acceleration

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iManip: Skill-Incremental Learning for Robotic Manipulation

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Meta-analysis of continual learning

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Regularizing Trajectories to Mitigate Catastrophic Forgetting

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Task Ordering Matters for Incremental Learning

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Leaping through Time with Gradient-Based Adaptation for Recommendation

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Continual Learning with Laplace Operator Based Node-Importance Dynamic Architecture Neural Network

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Continual Learning Based Ship Detection in Multiple Weathers

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Continual Learning with a Memory of Non-similar Samples

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FIG-LP: Feature-Inverse-Graph based Link Prediction in Graph Stream

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ICFD: An Incremental Learning Method Based on Data Feature Distribution

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Memory Population in Continual Learning via Outlier Elimination

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Multi-channel Episodic Memory Building using Recurrent Kernel Machine

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Towards a practical measure of interference for reinforcement learningPreprint

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Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning.Preprint

Lubana, E. S., Trivedi, P., & Dick, R. P. (2021) · arXiv (Cornell University) · Cited by 1

Shared and Private VAEs with Generative Replay for Continual LearningPreprint

Ghosh, S. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.07627 · Cited by 1

Disentangling Transfer and Interference in Multi-Domain LearningPreprint

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Continual Learning with Quasi-Newton MethodsPreprint

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