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Continual Learning

309 directly classified papers

Papers per year

Papers

Class-Incremental Learning based on Label Generation ACL 2023
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion ACL 2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning CVPR 2023
Endpoints Weight Fusion for Class Incremental Semantic Segmentation CVPR 2023
Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class CVPR 2023
VQACL: A Novel Visual Question Answering Continual Learning Setting CVPR 2023
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task CVPR 2023
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation CVPR 2023
Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation CVPR 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework CVPR 2023
PIVOT: Prompting for Video Continual Learning CVPR 2023
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation CVPR 2023
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning CVPR 2023
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning CVPR 2023
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions CVPR 2023
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation EMNLP 2023
Visually Grounded Continual Language Learning with Selective Specialization EMNLP 2023
CITB: A Benchmark for Continual Instruction Tuning EMNLP 2023
A Spectral Viewpoint on Continual Relation Extraction EMNLP 2023
Orthogonal Subspace Learning for Language Model Continual Learning EMNLP 2023
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts EMNLP 2023
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks EMNLP 2023
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation NIPS 2023
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm NIPS 2023
Rewiring Neurons in Non-Stationary Environments NIPS 2023