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Continual Learning

319 papers

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Papers

Forget Less by Learning Together through Concept Consolidation WACV 2026
OASIS: Online Sample Selection for Continual Instruction Tuning ACL 2026
CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher ACL 2026
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training ACL 2026
From Experts to Bases: Orthogonal Subspace Mixture for Continual Multimodal Instruction Tuning ACL 2026
Reinforcement Learning on Pre-Training Data ACL 2026
Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual Learning ACL 2026
Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training ACL 2026
Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation? ACL 2026
Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs ACL 2026
Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation MIDL 2026
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency AAAI 2025
Enhancing Robustness in Incremental Learning with Adversarial Training AAAI 2025
FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency Regularization AAAI 2025
DCA: Dividing and Conquering Amnesia in Incremental Object Detection AAAI 2025
Adaptive Prototype Replay for Class Incremental Semantic Segmentation AAAI 2025
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking AAAI 2025
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning AAAI 2025
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization AAAI 2025
Rebalancing Multi-Label Class-Incremental Learning AAAI 2025
Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning AAAI 2025
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP AAAI 2025
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning AAAI 2025
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning AAAI 2025
Exploring Rationale Learning for Continual Graph Learning AAAI 2025