Continual Learning

SS-IL: Separated Softmax for Incremental Learning ICCV 2021 SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning NeurIPS 2021 Storage Fit Learning with Feature Evolvable Streams AAAI 2021 Striking a Balance Between Stability and Plasticity for Class-Incremental Learning ICCV 2021 SynthASR: Unlocking Synthetic Data for Speech Recognition Interspeech 2021 Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces ICCV 2021 TAILOR: Teaching with Active and Incremental Learning for Object Registration AAAI 2021 TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL ICML 2021 Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers EMNLP 2021 Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution NAACL 2021 Towards Lifelong Learning of End-to-End ASR Interspeech 2021 Towards Open World Object Detection CVPR 2021 Towards Realistic Single-Task Continuous Learning Research for NER EMNLP 2021 TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning IJCAI 2021 Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time NeurIPS 2021 Training Networks in Null Space of Feature Covariance for Continual Learning CVPR 2021 Unsupervised Model Adaptation for Continual Semantic Segmentation AAAI 2021 Unsupervised Progressive Learning and the STAM Architecture IJCAI 2021 Using Hindsight to Anchor Past Knowledge in Continual Learning AAAI 2021 Variational Auto-Regressive Gaussian Processes for Continual Learning ICML 2021 Variational Continual Bayesian Meta-Learning NeurIPS 2021 Wandering within a world: Online contextualized few-shot learning ICLR 2021 Wanderlust: Online Continual Object Detection in the Real World ICCV 2021 A Combinatorial Perspective on Transfer Learning NeurIPS 2020 ADINet: Attribute Driven Incremental Network for Retinal Image Classification CVPR 2020