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Continual Learning

1895 directly classified papers

Papers per year

Papers

Pre-trained Online Contrastive Learning for Insurance Fraud Detection AAAI 2024
Quilt: Robust Data Segment Selection against Concept Drifts AAAI 2024
Emergent specialization from participation dynamics and multi-learner retraining AISTATS 2024
Rehearsal-Free Modular and Compositional Continual Learning for Language Models NAACL 2024
Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data MICCAI 2024
Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation CVPR 2024
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions NAACL 2024
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset NIPS 2024
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory CVPR 2024
Exploring Orthogonality in Open World Object Detection CVPR 2024
Dealing with Synthetic Data Contamination in Online Continual Learning NIPS 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation CVPR 2024
Continual Audio-Visual Sound Separation NIPS 2024
Distilling Causal Effect of Data in Continual Few-shot Relation Learning COLING 2024
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability CVPR 2024
Continual Reinforcement Learning for Controlled Text Generation COLING 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training NIPS 2024
realSEUDO for real-time calcium imaging analysis NIPS 2024
Continual Few-shot Event Detection via Hierarchical Augmentation Networks COLING 2024
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters CVPR 2024
Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models COLING 2024
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024
Continual learning with the neural tangent ensemble NIPS 2024
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection AAAI 2024
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning AAAI 2024