← Learning Paradigms
Machine Learning › Learning Paradigms ›

Continual Learning

557 directly classified papers

Papers per year

Papers

AIC3DOD: Advancing Indoor Class-Incremental 3D Object Detection with Point Transformer Architecture and Room Layout Constraints WACV 2025
Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepali COLING 2025
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification AAAI 2025
NCAdapt: Dynamic Adaptation with Domain-Specific Neural Cellular Automata for Continual Hippocampus Segmentation WACV 2025
A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning WACV 2025
Towards Continual Universal Segmentation CVPR 2025
AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation AAAI 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks ACL 2024
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation ACL 2024
Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning WACV 2024
Continual Learning of Unsupervised Monocular Depth From Videos WACV 2024
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning WACV 2024
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation ACL 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models ACL 2024
Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts WACV 2024
Online Class-Incremental Learning for Real-World Food Image Classification WACV 2024
Continual Atlas-Based Segmentation of Prostate MRI WACV 2024
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning WACV 2024
Influential Exemplar Replay for Incremental Learning in Recommender Systems AAAI 2024
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning WACV 2024
Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning WACV 2024
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning WACV 2024
Steering Prototypes With Prompt-Tuning for Rehearsal-Free Continual Learning WACV 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation AAAI 2024