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Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient Projection

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FedSKF: Selective Knowledge Fusion via Optimal Transport in Federated Class Incremental Learning

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Recurrent Network Expansion for Class Incremental Learning

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PID: A Parameter-Efficient Isolation Domain-Incremental Learning Framework for Signal Modulation Classification

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Class-Prompting Transformer for Incremental Semantic Segmentation

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Acquiring New Knowledge Without Losing Old Ones for Effective Continual Dialogue Policy Learning

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Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning

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Continual Learning With Unknown Task Boundary

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Multivariate prototype representation for domain-generalized incremental learning

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Towards prompt tuning-based software vulnerability assessment with continual learning

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Continual learning in inertial measurement unit-based human activity recognition with user-centric class-incremental learning scenario

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Enhancing Continual Semantic Segmentation via Uncertainty and Class Balance Re-Weighting

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A New Incremental Learning Method Based on Rainbow Memory for Fault Diagnosis of AUV

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Rethinking data imbalance in class incremental surgical instrument segmentation

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RMAF: A replay method based on active forgetting for continual learning

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DNN Patching: Progressive Fixing and Augmenting the Functionalities of DNNs for Autonomous Vehicles

Saridena, A. N., & Choromanska, A. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2022.3145493 · Cited by 5

A New Generative Replay Approach for Incremental Class Learning of Medical Image for Semantic Segmentation

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GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes

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Chameleon: Dual Memory Replay for Online Continual Learning on Edge Devices

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Deep continual hashing for real-world multi-label image retrieval

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Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer

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Continual learning approaches for single cell RNA sequencing data

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Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation

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Class-specific Prompts in Vision Transformer for Continual Learning of New Diseases

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Defending Network IDS against Adversarial Examples with Continual Learning

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Semantic Prompting with Image Token for Continual Learning

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Electromagnetic Signal Classification Based on Class Exemplar Selection and Multi-Objective Linear Programming

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Federated Learning and catastrophic forgetting in pervasive computing: demonstration in HAR domain

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Continual learning via region-aware memory

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Hierarchical Task-Incremental Learning with Feature-Space Initialization Inspired by Neural Collapse

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Simple Continual Learning Strategies for Safer Classifers.

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Confidence Calibration for Incremental Learning

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Class-Incremental Learning with Rectified Feature-Graph Preservation

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Extending Conditional Convolution Structures For Enhancing Multitasking Continual Learning

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Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference

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Conflicts between Likelihood and Knowledge Distillation in Task Incremental Learning for 3D Object Detection

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Bilevel Online Deep Learning in Non-stationary Environment

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A Deep Learning Framework for Lifelong Machine LearningPreprint

Ling, C. X., & Bohn, T. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.00157 · Cited by 5

A Procedural World Generation Framework for Systematic Evaluation of Continual LearningPreprint

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AlterSGD: Finding Flat Minima for Continual Learning by Alternative TrainingPreprint

Huang, Z., Liang, M., Liang, S., & He, W. P. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2107.05804 · Cited by 5

Reviewing continual learning from the perspective of human-level intelligencePreprint

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A soft-masking continual pre-training method based on domain knowledge relevance

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PIC-CMH: Efficient Prompt-Infused Continual Cross-Modal Hashing

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Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering

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Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning

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Task-Incremental Medical Image Classification with Task-Specific Batch Normalization

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Triadic Elastic Structure Representation for Open-Set Incremental 3D Object Retrieval

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Learn to Update Digital Twins with Incremental Scenarios

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Towards Cross-Domain Continual Learning

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Tendency-Driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation

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SPrint: Self-Paced Continual Learning with Adaptive Curriculum and Memory Replay

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Exemplar-Free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation

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Learning Temporal Event Knowledge for Continual Social Event Classification

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DOI: A Systematic Framework for Incremental Identification of Specific Emitters in Open-Set Scenarios

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An Incremental Learning Method With Feature-Attention Distillation and Logit Adjustment for Rotating Machinery Fault Diagnosis

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LMT++: Adaptively Collaborating LLMs With Multi-Specialized Teachers for Continual VQA in Robotic Surgical Videos

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Mitigating representation bias for class-incremental semantic segmentation of remote sensing images

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PKI: Prior knowledge-infused neural network for few-shot class-incremental learning

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Rethinking Query-Based Transformer for Continual Image Segmentation

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Long-Tail Class Incremental Learning via Bias Calibration With Application to Continuous Fault Diagnosis

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When Continual Learning Meets Robotic Grasp Detection: A Novel Benchmark on the Jacquard Dataset

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Incremental Pedestrian Attribute Recognition via Dual Uncertainty-Aware Pseudo-Labeling

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A Continual Learning Algorithm Based on Orthogonal Gradient Descent Beyond Neural Tangent Kernel Regime

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Scalable and Sustainable Graph-Based Traffic Prediction With Adaptive Deep Learning

Yu, J. J. Q. (2024) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2024.3419036 · Cited by 4

Class incremental learning with KL constraint and multi-strategy exemplar selection for classification based on MMFA model

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Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal

Zhu, X., Jiang, Z., Wu, K., Shi, J., & Zheng, Y. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72083-3_26 · Cited by 5

Progressive Prototype Evolving for Dual-Forgetting Mitigation in Non-Exemplar Online Continual Learning

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HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts

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iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning

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Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery

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Strike a Balance in Continual Panoptic Segmentation

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Freeze and Learn: Continual Learning with Selective Freezing for Speech Deepfake Detection

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CIT: Rethinking class-incremental semantic segmentation with a Class Independent Transformation

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Selecting Useful Knowledge from Previous Tasks for Future Learning in a Single Network

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On the Beneficial Effects of Reinjections for Continual Learning

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Rethinking Task-Incremental Learning Baselines

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Improving transparency and representational generalizability through parallel continual learning

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AdaDeepStream: streaming adaptation to concept evolution in deep neural networks

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Incremental Land Cover Classification via Label Strategy and Adaptive Weights

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An Internal-External Constrained Distillation Framework for Continual Semantic Segmentation

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Online Continual Learning on Hierarchical Label Expansion

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MixER: Mixup-Based Experience Replay for Online Class-Incremental Learning

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Continual Learning From a Stream of APIs

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Embracing Massive Medical Data

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DynMat, a network that can learn after learning

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HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification

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Accounting for the Effect of Inter-Task Similarity in Continual Learning Models

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RD-NMSVM: neural mapping support vector machine based on parameter regularization and knowledge distillation

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Detecting and Learning the Unknown in Semantic Segmentation

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Visual Analytics on Network Forgetting for Task‐Incremental Learning

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Large-scale Lifelong Learning of In-context Instructions and How to Tackle It

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Active Continual Learning: On Balancing Knowledge Retention and Learnability

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Few-shot Continual Learning: a Brain-inspired ApproachPreprint

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