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Continual Learning

319 papers

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Papers

Look-ahead Meta Learning for Continual Learning NIPS 2020
Organizing recurrent network dynamics by task-computation to enable continual learning NIPS 2020
Supermasks in Superposition NIPS 2020
Calibrating CNNs for Lifelong Learning NIPS 2020
GAN Memory with No Forgetting NIPS 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning NIPS 2020
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization NIPS 2020
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario AAAI 2020
Residual Continual Learning AAAI 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020
Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control AAAI 2020
Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’ AAAI 2020
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks AAAI 2020
Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning CVPR 2020
Online Depth Learning Against Forgetting in Monocular Videos CVPR 2020
Continual Learning With Extended Kronecker-Factored Approximate Curvature CVPR 2020
Modeling the Background for Incremental Learning in Semantic Segmentation CVPR 2020
Semantic Drift Compensation for Class-Incremental Learning CVPR 2020
Maintaining Discrimination and Fairness in Class Incremental Learning CVPR 2020
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting CVPR 2020
Incremental Learning in Online Scenario CVPR 2020
Learning to Segment the Tail CVPR 2020
What Makes Training Multi-Modal Classification Networks Hard? CVPR 2020
Lifelong Language Knowledge Distillation EMNLP 2020