Co-occurring keywords · papers mentioning both
Papers
Adversarial Pseudo-replay for Exemplar-free Class-incremental Learning
WACV 2026
Beyond Myopic Alignment: Lookahead Optimization for Online Class-Incremental Learning
CVPR 2026
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
AAAI 2026
CHEEM: Continual Learning by Reuse, New, Adapt and Skip - A Hierarchical Exploration-Exploitation Approach
CVPR 2026
Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
AAAI 2026
Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers
AAAI 2026
Decoupling Continual Semantic Segmentation
AAAI 2026
DGS: Dual Gradient and Semantic-Shift Guided Low-Rank Adaptation for Class Incremental Learning
CVPR 2026
DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning
AAAI 2026
Dual-Estimator: Decoupling Global and Local Semantic Shift for Drift Compensation in Class-Incremental Learning
CVPR 2026
FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning
AAAI 2026
Geometry-driven OOD Detectors Are Class-Incremental Learners
CVPR 2026
Improving Sustainability of Adversarial Examples in Class-Incremental Learning
AAAI 2026
Online Cross-Modal Hashing with Expanding Label Space
AAAI 2026
Palimpsest: Reconciling the CISS Trilemma for Incremental Nuclei Segmentation
AAAI 2026
Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning
CVPR 2026
Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability
AAAI 2026
Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models
CVPR 2026
TAPE: Task-Adaptive Prototype Evolution in Audio-Language Models for Fully Few-shot Class-incremental Audio Classification
CVPR 2026
Temporal Imbalance of Positive and Negative Supervision in Class-Incremental Learning
CVPR 2026
Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning
AAAI 2026
Topology-aware Knowledge Preservation for Class-Incremental Learning
AAAI 2026
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
ICCV 2025
Activating Sparse Part Concepts for 3D Class Incremental Learning
CVPR 2025
Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning
CVPR 2025