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Continual Learning

1895 directly classified papers

Papers per year

Papers

Improving Sustainability of Adversarial Examples in Class-Incremental Learning AAAI 2026

Learning a Fix and Explore Framework for Continuous Generalized Category Discovery AAAI 2026

R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models AAAI 2026

Decoupling Continual Semantic Segmentation AAAI 2026

ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks AAAI 2026

Forget Less by Learning from Parents Through Hierarchical Relationships AAAI 2026

First Learn, Then Review: Human-Like Continual Learning for Cross-View Geo-Localization with Limited Field of View AAAI 2026

Bring Your Dreams to Life: Continual Text-to-Video Customization AAAI 2026

Gene Incremental Learning for Single-Cell Transcriptomics AAAI 2026

Composition-Incremental Learning for Compositional Generalization AAAI 2026

Vision-language Incremental Learning with Dual Class-individual Memory AAAI 2026

GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery AAAI 2026

Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation WACV 2026

More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026

Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations WACV 2026

Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting AAAI 2026

SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities WACV 2026

CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles WACV 2026

Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers AAAI 2026

E-Logic Prompt: Unified Energy-Logic Framework for Continual Visual Question Answering AAAI 2026

Learning Adaptive and Expandable Mixture Model for Continual Learning AAAI 2026

Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint AAAI 2026

ConSurv: Multimodal Continual Learning for Survival Analysis AAAI 2026

Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning AAAI 2026

Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation AAAI 2026