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Continual Learning

1895 directly classified papers

Papers per year

Papers

FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency Regularization AAAI 2025
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models AAAI 2025
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning AAAI 2025
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization AAAI 2025
Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning AAAI 2025
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP AAAI 2025
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning AAAI 2025
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning AAAI 2025
Metric-Agnostic Continual Learning for Sustainable Group Fairness AAAI 2025
Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity AAAI 2025
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency AAAI 2025
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification AAAI 2025
Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation AAAI 2025
GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation AAAI 2025
DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification AAAI 2025
DCA: Dividing and Conquering Amnesia in Incremental Object Detection AAAI 2025
Adaptive Prototype Replay for Class Incremental Semantic Segmentation AAAI 2025
ConDo: Continual Domain Expansion for Absolute Pose Regression AAAI 2025
Rebalancing Multi-Label Class-Incremental Learning AAAI 2025
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning AAAI 2025
Continual Learning Using a Kernel-Based Method Over Foundation Models AAAI 2025
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype AAAI 2025
LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation AAAI 2025
Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction NAACL 2025