Co-occurring keywords · papers mentioning both
Papers
Do Not Forget to Attend to Uncertainty While Mitigating Catastrophic Forgetting
WACV 2021
DualNet: Continual Learning, Fast and Slow
NeurIPS 2021
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping
CVPR 2021
ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning
EMNLP 2021
EEC: Learning to Encode and Regenerate Images for Continual Learning
ICLR 2021
Efficient Continual Learning with Modular Networks and Task-Driven Priors
ICLR 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning
CVPR 2021
Else-Net: Elastic Semantic Network for Continual Action Recognition From Skeleton Data
ICCV 2021
Faster Meta Update Strategy for Noise-Robust Deep Learning
CVPR 2021
Federated Continual Learning with Weighted Inter-client Transfer
ICML 2021
FedSpeech: Federated Text-to-Speech with Continual Learning
IJCAI 2021
Few-Shot and Continual Learning With Attentive Independent Mechanisms
ICCV 2021
Few-Shot Incremental Learning With Continually Evolved Classifiers
CVPR 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
NeurIPS 2021
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
NeurIPS 2021
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation
CoRL 2021
Generalising without Forgetting for Lifelong Person Re-Identification
AAAI 2021
Generative vs. Discriminative: Rethinking The Meta-Continual Learning
NeurIPS 2021
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
NeurIPS 2021
Gradient Projection Memory for Continual Learning
ICLR 2021
Graph-Based Continual Learning
ICLR 2021
Hierarchical Indian buffet neural networks for Bayesian continual learning
UAI 2021
Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation
CVPR 2021
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
NAACL 2021
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
AAAI 2021