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Continual Learning
1895 directly classified papers
Papers per year
2005: 1
2010: 1
2012: 1
2013: 4
2014: 7
2015: 6
2016: 4
2017: 25
2018: 35
2019: 75
2020: 126
2021: 202
2022: 221
2023: 362
2024: 351
2025: 353
2026: 121
Papers
Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification
NAACL 2025
On the Generalization of Feature Incremental Learning
IJCAI 2025
CRAM: Large Scale Video Continual Learning with Bootstrapped Compression
ICCV 2025
SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning
ICCV 2025
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling
AAAI 2025
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
IJCAI 2025
LiBOG: Lifelong Learning for Black-Box Optimizer Generation
IJCAI 2025
Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios
ICCV 2025
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning
ICCV 2025
Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models
ICCV 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
ICCV 2025
Human Activity Recognition in an Open World (Abstract Reprint)
IJCAI 2025
Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection
ICCV 2025
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
ICCV 2025
CoSMIC: Continual Self-supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization
ICCV 2025
CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization
ICCV 2025
Continual Personalization for Diffusion Models
ICCV 2025
HFT: Half Fine-Tuning for Large Language Models
ACL 2025
Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement
ICCV 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
CVPR 2025
Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling
CVPR 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
CVPR 2025
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction
IJCAI 2025
MAD: Memory-Augmented Detection of 3D Objects
CVPR 2025
EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation
IJCAI 2025
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