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Continual Learning

557 directly classified papers

Papers per year

Papers

Task-Free Dynamic Sparse Vision Transformer for Continual Learning AAAI 2024
Continual Learning in an Open and Dynamic World AAAI 2024
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction CVPR 2024
TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation AAAI 2024
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning CVPR 2024
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning CVPR 2024
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer CVPR 2024
Continual Atlas-Based Segmentation of Prostate MRI WACV 2024
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective NIPS 2024
Multi-Domain Incremental Learning for Face Presentation Attack Detection AAAI 2024
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models NIPS 2024
DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning CVPR 2024
Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment NIPS 2024
Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling CVPR 2023
Dense Network Expansion for Class Incremental Learning CVPR 2023
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation CVPR 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning CVPR 2023
Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems AAAI 2023
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images AAAI 2023
Continual Variational Autoencoder via Continual Generative Knowledge Distillation AAAI 2023
Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy AAAI 2023
Sustaining Fairness via Incremental Learning AAAI 2023
Regularizing Second-Order Influences for Continual Learning CVPR 2023
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems AAAI 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces AAAI 2023