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Continual Learning

1895 directly classified papers

Papers per year

Papers

MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019
Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019
Policy Consolidation for Continual Reinforcement Learning ICML 2019
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild ICCV 2019
IL2M: Class Incremental Learning With Dual Memory ICCV 2019
ACE: Adapting to Changing Environments for Semantic Segmentation ICCV 2019
Lifelong GAN: Continual Learning for Conditional Image Generation ICCV 2019
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation ICCV 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions ICCV 2019
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation NAACL 2019
Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control CORL 2019
Scalable Recollections for Continual Lifelong Learning AAAI 2019
Uncertainty-based Continual Learning with Adaptive Regularization NIPS 2019
Random Path Selection for Continual Learning NIPS 2019
Continual Unsupervised Representation Learning NIPS 2019
Experience Replay for Continual Learning NIPS 2019
Incremental Learning Using Conditional Adversarial Networks ICCV 2019
Episodic Memory in Lifelong Language Learning NIPS 2019
Continual Learning for Sentence Representations Using Conceptors NAACL 2019
Sentence Embedding Alignment for Lifelong Relation Extraction NAACL 2019
A Boundary-aware Neural Model for Nested Named Entity Recognition IJCNLP 2019
Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ACL 2019
Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation ACL 2019
Meta-Descent for Online, Continual Prediction AAAI 2019
A Progressive Model to Enable Continual Learning for Semantic Slot Filling EMNLP 2019