← Learning Types
Machine Learning › Learning Types ›

Continual Learning

1895 directly classified papers

Papers per year

Papers

Defying Imbalanced Forgetting in Class Incremental Learning AAAI 2024
LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification AAAI 2024
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias AAAI 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP AAAI 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning AAAI 2024
ViLCo-Bench: VIdeo Language COntinual learning Benchmark NIPS 2024
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype AAAI 2024
Learning to Prompt Knowledge Transfer for Open-World Continual Learning AAAI 2024
Towards Effective and General Graph Unlearning via Mutual Evolution AAAI 2024
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation AAAI 2024
Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation CVPR 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding AAAI 2024
Doubly Perturbed Task Free Continual Learning AAAI 2024
Continual Multi-View Clustering with Consistent Anchor Guidance IJCAI 2024
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory CVPR 2024
Evolving Parameterized Prompt Memory for Continual Learning AAAI 2024
Cross-Class Feature Augmentation for Class Incremental Learning AAAI 2024
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability CVPR 2024
Adaptive Shortcut Debiasing for Online Continual Learning AAAI 2024
Instance-Conditional Timescales of Decay for Non-Stationary Learning AAAI 2024
GACL: Exemplar-Free Generalized Analytic Continual Learning NIPS 2024
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters CVPR 2024
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement AAAI 2024
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation AAAI 2024
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation CVPR 2024