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Continual Learning

1895 directly classified papers

Papers per year

Papers

A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario AAAI 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting NIPS 2020
Meta-Learning through Hebbian Plasticity in Random Networks NIPS 2020
Continual Lifelong Learning in Natural Language Processing: A Survey COLING 2020
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation AAAI 2020
Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control AAAI 2020
Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’ AAAI 2020
Online Structured Meta-learning NIPS 2020
Learning to Adapt to Evolving Domains NIPS 2020
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks AAAI 2020
ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding AAAI 2020
Meta-Learning Improves Lifelong Relation Extraction ACL 2019
Forward and Backward Knowledge Transfer for Sentiment Classification ACML 2019
Incremental Object Learning From Contiguous Views CVPR 2019
Compacting, Picking and Growing for Unforgetting Continual Learning NIPS 2019
Reconciling meta-learning and continual learning with online mixtures of tasks NIPS 2019
Practical Deep Learning with Bayesian Principles NIPS 2019
Inherent Weight Normalization in Stochastic Neural Networks NIPS 2019
Gradient based sample selection for online continual learning NIPS 2019
Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis AAAI 2019
Lifelong Optimization with Low Regret AISTATS 2019
MetaInit: Initializing learning by learning to initialize NIPS 2019
Knowledge-Based Linguistic Encoding for End-to-End Mandarin Text-to-Speech Synthesis INTERSPEECH 2019
An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models INTERSPEECH 2019
Online Continual Learning with Maximal Interfered Retrieval NIPS 2019