← Learning Paradigms
Machine Learning › Learning Paradigms ›

Continual Learning

557 directly classified papers

Papers per year

Papers

On Warm-Starting Neural Network Training NIPS 2020
Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy L4DC 2020
Orthogonal Gradient Descent for Continual Learning AISTATS 2020
Task-Free Continual Learning CVPR 2019
Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ACL 2019
Meta-Learning Improves Lifelong Relation Extraction ACL 2019
Scalable Recollections for Continual Lifelong Learning AAAI 2019
Experience Replay for Continual Learning NIPS 2019
Self-Organizing Incremental Neural Networks for Continual Learning IJCAI 2019
Towards Incremental Learning of Word Embeddings Using Context Informativeness ACL 2019
A Progressive Model to Enable Continual Learning for Semantic Slot Filling EMNLP 2019
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis EMNLP 2019
Meta-Descent for Online, Continual Prediction AAAI 2019
Large Scale Incremental Learning CVPR 2019
Incremental Object Learning From Contiguous Views CVPR 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning CVPR 2019
Learning a Unified Classifier Incrementally via Rebalancing CVPR 2019
Policy and Value Transfer in Lifelong Reinforcement Learning ICML 2018
Lifelong Inverse Reinforcement Learning NIPS 2018
Continual Reinforcement Learning with Complex Synapses ICML 2018
Reinforced Continual Learning NIPS 2018
Overcoming Catastrophic Forgetting with Hard Attention to the Task ICML 2018
State Abstractions for Lifelong Reinforcement Learning ICML 2018
Continual Learning with Deep Generative Replay NIPS 2017
iCaRL: Incremental Classifier and Representation Learning CVPR 2017