Continual Learning

Continual Learning for Sentence Representations Using Conceptors NAACL 2019 Continual Unsupervised Representation Learning NeurIPS 2019 Continuous Learning for Large-scale Personalized Domain Classification NAACL 2019 Curriculum Learning for Cumulative Return Maximization IJCAI 2019 Deep Incremental Hashing Network for Efficient Image Retrieval CVPR 2019 Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL ICLR 2019 Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation ACL 2019 Episodic Memory in Lifelong Language Learning NeurIPS 2019 Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis AAAI 2019 Experience Replay for Continual Learning NeurIPS 2019 Extensible Cross-Modal Hashing IJCAI 2019 Forward and Backward Knowledge Transfer for Sentiment Classification ACML 2019 GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions ICCV 2019 Gradient based sample selection for online continual learning NeurIPS 2019 Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation ICCV 2019 IL2M: Class Incremental Learning With Dual Memory ICCV 2019 Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting AAAI 2019 Incremental Class Discovery for Semantic Segmentation With RGBD Sensing ICCV 2019 Incremental Few-Shot Learning for Pedestrian Attribute Recognition IJCAI 2019 Incremental Learning from Scratch for Task-Oriented Dialogue Systems ACL 2019 Incremental Learning Using Conditional Adversarial Networks ICCV 2019 Incremental Object Learning From Contiguous Views CVPR 2019 Inherent Weight Normalization in Stochastic Neural Networks NeurIPS 2019 Iterated Learning in Dynamic Social Networks JMLR 2019 Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis EMNLP 2019