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Continual Learning

1895 directly classified papers

Papers per year

Papers

Federated Incremental Semantic Segmentation CVPR 2023
Endpoints Weight Fusion for Class Incremental Semantic Segmentation CVPR 2023
Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference CVPR 2023
Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning CVPR 2023
Adaptive Plasticity Improvement for Continual Learning CVPR 2023
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning CVPR 2023
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task CVPR 2023
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning CVPR 2023
Heterogeneous Continual Learning CVPR 2023
PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning CVPR 2023
Dealing With Cross-Task Class Discrimination in Online Continual Learning CVPR 2023
How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation CVPR 2023
Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation CVPR 2023
Annealing-Based Label-Transfer Learning for Open World Object Detection CVPR 2023
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation CVPR 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning NIPS 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning NIPS 2023
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm NIPS 2023
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data NIPS 2023
Continual Learning for Instruction Following from Realtime Feedback NIPS 2023
Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm NIPS 2023
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees NIPS 2023
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality NIPS 2023