conftrace_

← Learning Types

Machine Learning › Learning Types ›

Continual Learning

1,929 papers

Papers per year

1

1

1

4

7

6

4

25

35

75

129

205

226

367

356

364

123

'05

'10

'15

'20

'25

Papers

LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning AAAI 2026

MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning AAAI 2026

Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning AAAI 2026

Towards Robust Edge Model Adaptation via Elastic Architecture Search AAAI 2026

Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability AAAI 2026

CIP-Net: Continual Interpretable Prototype-based Network AAAI 2026

Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition AAAI 2026

Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA AAAI 2026

Online Cross-Modal Hashing with Expanding Label Space AAAI 2026

MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm AAAI 2026

DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning AAAI 2026

Forgetting by Pruning: Data Deletion in Join Cardinality Estimation AAAI 2026

S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning AAAI 2026

Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning AAAI 2026

A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling AAAI 2026

FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning AAAI 2026

Multi-Label Classification with Incremental and Decremental Features AAAI 2026

HiCL: Hippocampal-Inspired Continual Learning AAAI 2026

Generalizable Heterogeneity-aware Federated Feature and Basic-matrix Consistency Learning AAAI 2026

Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models AAAI 2026

Palimpsest: Reconciling the CISS Trilemma for Incremental Nuclei Segmentation AAAI 2026

ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026

Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments AAAI 2026

DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning AAAI 2026

Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning AAAI 2026