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Continual Learning

1,929 papers

Papers per year

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Papers

Look-ahead Meta Learning for Continual Learning NIPS 2020
Meta-Consolidation for Continual Learning NIPS 2020
Organizing recurrent network dynamics by task-computation to enable continual learning NIPS 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting NIPS 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming NIPS 2020
Supermasks in Superposition NIPS 2020
Calibrating CNNs for Lifelong Learning NIPS 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline NIPS 2020
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network NIPS 2020
GAN Memory with No Forgetting NIPS 2020
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning 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
Continuous Meta-Learning without Tasks NIPS 2020
Online Multitask Learning with Long-Term Memory NIPS 2020
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks NIPS 2020
Meta-Learning through Hebbian Plasticity in Random Networks NIPS 2020
Learning to Learn with Feedback and Local Plasticity NIPS 2020
Learning to Adapt to Evolving Domains NIPS 2020
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NIPS 2020
Asynchronous Deep Model Reference Adaptive Control CORL 2020
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion CORL 2020
Just Ask: An Interactive Learning Framework for Vision and Language Navigation AAAI 2020
Learning to Interactively Learn and Assist AAAI 2020
Lifelong Learning with a Changing Action Set AAAI 2020