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Continual Learning

1895 directly classified papers

Papers per year

Papers

ScaIL: Classifier Weights Scaling for Class Incremental Learning WACV 2020
Generative Continual Concept Learning AAAI 2020
Lifelong Zero-Shot Learning IJCAI 2020
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation IJCAI 2020
Online Multitask Learning with Long-Term Memory NIPS 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions ICML 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach CVPR 2020
Lifelong Spectral Clustering AAAI 2020
Learning to Segment the Tail CVPR 2020
SERIL: Noise Adaptive Speech Enhancement Using Regularization-Based Incremental Learning INTERSPEECH 2020
Semantic Drift Compensation for Class-Incremental Learning CVPR 2020
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation COLING 2020
Residual Continual Learning AAAI 2020
Few-Shot Class-Incremental Learning CVPR 2020
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization NIPS 2020
Learning to Learn with Feedback and Local Plasticity NIPS 2020
Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract) AAAI 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL NIPS 2020
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem CVPR 2020
Continual Learning in Automatic Speech Recognition INTERSPEECH 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020
Asynchronous Deep Model Reference Adaptive Control CORL 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search ICML 2020
Robustifying Sequential Neural Processes ICML 2020
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning ICML 2020