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Continual Learning

1895 directly classified papers

Papers per year

Papers

A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network NIPS 2020
Learning with Feature and Distribution Evolvable Streams ICML 2020
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting CVPR 2020
Class-incremental Learning via Deep Model Consolidation WACV 2020
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization CVPR 2020
Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget CVPR 2020
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking CVPR 2020
Self-Supervised Deep Visual Odometry With Online Adaptation CVPR 2020
Online Depth Learning Against Forgetting in Monocular Videos CVPR 2020
Maintaining Discrimination and Fairness in Class Incremental Learning CVPR 2020
Continual Learning in Low-rank Orthogonal Subspaces NIPS 2020
Look-ahead Meta Learning for Continual Learning NIPS 2020
Dynamic Sampling Strategies for Multi-Task Reading Comprehension ACL 2020
Organizing recurrent network dynamics by task-computation to enable continual learning NIPS 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification MIDL 2020
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation ACL 2020
Intent Preference Decoupling for User Representation on Online Recommender System IJCAI 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning NIPS 2020
LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis SEMEVAL 2020
Continuous Meta-Learning without Tasks NIPS 2020
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion CORL 2020
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification COLING 2020
Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction IJCAI 2020
Continual Learning Long Short Term Memory EMNLP 2020
Memory Augmented Neural Model for Incremental Session-based Recommendation IJCAI 2020