← Learning Types
Machine Learning › Learning Types ›

Continual Learning

1895 directly classified papers

Papers per year

Papers

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
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin ACL 2024
Exploring Orthogonality in Open World Object Detection CVPR 2024
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters CVPR 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models ACL 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024
Model Editing at Scale leads to Gradual and Catastrophic Forgetting ACL 2024
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal ACL 2024
Continual Test-Time Domain Adaptation via Dynamic Sample Selection WACV 2024
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation CVPR 2024
Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation CVPR 2024
Does the Order Matter? Curriculum Learning over Languages COLING 2024
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation ACL 2024
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models NIPS 2024
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization AISTATS 2024
Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition WACV 2024
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory CVPR 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay CVPR 2024
Convolutional Prompting meets Language Models for Continual Learning CVPR 2024
Multi-world Model in Continual Reinforcement Learning AAAI 2024
The Inter-batch Diversity of Samples in Experience Replay for Continual Learning AAAI 2024
Continual Learning in an Open and Dynamic World AAAI 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection AAAI 2024
Quilt: Robust Data Segment Selection against Concept Drifts AAAI 2024