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Continual Learning

309 directly classified papers

Papers per year

Papers

Continual Learning for Natural Language Generation in Task-oriented Dialog Systems EMNLP 2020
Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020
Continual Deep Learning by Functional Regularisation of Memorable Past NIPS 2020
Understanding the Role of Training Regimes in Continual Learning NIPS 2020
Continual Learning in Low-rank Orthogonal Subspaces NIPS 2020
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
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization NIPS 2020
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks AAAI 2020
Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’ AAAI 2020
Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control AAAI 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020
Residual Continual Learning AAAI 2020
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario AAAI 2020
Random Path Selection for Continual Learning NIPS 2019
Large Scale Incremental Learning CVPR 2019
Experience Replay for Continual Learning NIPS 2019
Episodic Memory in Lifelong Language Learning NIPS 2019
Continual Unsupervised Representation Learning NIPS 2019
Learning Without Memorizing CVPR 2019
Incremental Object Learning From Contiguous Views CVPR 2019
Task-Free Continual Learning CVPR 2019