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Continual Learning
1895 directly classified papers
Papers per year
2005: 1
2010: 1
2012: 1
2013: 4
2014: 7
2015: 6
2016: 4
2017: 25
2018: 35
2019: 75
2020: 126
2021: 202
2022: 221
2023: 362
2024: 351
2025: 353
2026: 121
Papers
TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
AAAI 2026
Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning
AAAI 2026
Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning
AAAI 2026
Towards Continually-Evolving AI: Selective and Expandable Multimodal Memory System
AAAI 2026
Vision-language Incremental Learning with Dual Class-individual Memory
AAAI 2026
MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction
AAAI 2026
Autonomous Concept Drift Threshold Determination
AAAI 2026
KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning
AAAI 2026
Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs
AAAI 2026
LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization
AAAI 2026
Gene Incremental Learning for Single-Cell Transcriptomics
AAAI 2026
Bring Your Dreams to Life: Continual Text-to-Video Customization
AAAI 2026
GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery
AAAI 2026
Forget Less by Learning from Parents Through Hierarchical Relationships
AAAI 2026
Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection
AAAI 2026
YOLO-IOD: Towards Real Time Incremental Object Detection
AAAI 2026
Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
AAAI 2026
Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition
AAAI 2026
Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments
AAAI 2026
Learning from Imperfect Data: Incremental Learning and Few-shot Learning
AAAI 2026
RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation
AAAI 2026
iManip: Skill-Incremental Learning for Robotic Manipulation
ICCV 2025
Improving Continual Pre-training Through Seamless Data Packing
ACL 2025
Temporal Information Retrieval via Time-Specifier Model Merging
ACL 2025
DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic
ICCV 2025
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