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Continual Learning

1895 directly classified papers

Papers per year

Papers

Continual Learning of Unsupervised Monocular Depth From Videos WACV 2024
Continual learning of multi-modal dynamics with external memory L4DC 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NIPS 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation CVPR 2024
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability CVPR 2024
Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning CVPR 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NIPS 2024
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation CVPR 2024
Depth Aware Hierarchical Replay Continual Learning for Knowledge Based Question Answering COLING 2024
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024
Exploring Orthogonality in Open World Object Detection CVPR 2024
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters CVPR 2024
Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning CVPR 2024
Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024
MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science EMNLP 2024
ICL: Iterative Continual Learning for Multi-domain Neural Machine Translation EMNLP 2024
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents EMNLP 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NIPS 2024
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models EMNLP 2024
Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor INTERSPEECH 2024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation IJCAI 2024
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024
Lifelong Event Detection via Optimal Transport EMNLP 2024
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024