incremental learning

XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning ICML 2020 A comprehensive, application-oriented study of catastrophic forgetting in DNNs ICLR 2019 Deep Incremental Hashing Network for Efficient Image Retrieval CVPR 2019 Extensible Cross-Modal Hashing IJCAI 2019 Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel AAAI 2019 GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions ICCV 2019 Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings ACL 2019 Incremental Few-Shot Learning for Pedestrian Attribute Recognition IJCAI 2019 Incremental Few-Shot Learning with Attention Attractor Networks NeurIPS 2019 Incremental Learning from Scratch for Task-Oriented Dialogue Systems ACL 2019 Incremental Learning of Planning Actions in Model-Based Reinforcement Learning IJCAI 2019 Incremental Learning Using Conditional Adversarial Networks ICCV 2019 Incremental Object Learning From Contiguous Views CVPR 2019 Large Scale Incremental Learning CVPR 2019 Learning a Unified Classifier Incrementally via Rebalancing CVPR 2019 Learning Without Memorizing CVPR 2019 Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration RSS 2019 On the Global Convergence of (Fast) Incremental Expectation Maximization Methods NeurIPS 2019 Random Path Selection for Continual Learning NeurIPS 2019 Self-Organizing Incremental Neural Networks for Continual Learning IJCAI 2019 Stochastic Gradient Trees ACML 2019 Towards Incremental Learning of Word Embeddings Using Context Informativeness ACL 2019 A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning CoRL 2018 A Practical Incremental Learning Framework For Sparse Entity Extraction COLING 2018 Deep Active Learning for Named Entity Recognition ICLR 2018