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Continual Learning

1895 directly classified papers

Papers per year

Papers

Training Networks in Null Space of Feature Covariance for Continual Learning CVPR 2021
Few-Shot Incremental Learning With Continually Evolved Classifiers CVPR 2021
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation CVPR 2021
Inter-Task Similarity for Lifelong Reinforcement Learning in Heterogeneous Tasks IJCAI 2021
Change Matters: Medication Change Prediction with Recurrent Residual Networks IJCAI 2021
Learning the Superpixel in a Non-Iterative and Lifelong Manner CVPR 2021
Generalized Few-Shot Object Detection Without Forgetting CVPR 2021
Continual Lifelong Learning for Intelligent Agents IJCAI 2021
Distilling Causal Effect of Data in Class-Incremental Learning CVPR 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021
Towards Open World Object Detection CVPR 2021
AdaXpert: Adapting Neural Architecture for Growing Data ICML 2021
Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning CVPR 2021
Variational Auto-Regressive Gaussian Processes for Continual Learning ICML 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning ICCV 2021
Class-Incremental Learning for Action Recognition in Videos ICCV 2021
PLOP: Learning Without Forgetting for Continual Semantic Segmentation CVPR 2021
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping CVPR 2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning CVPR 2021
Image De-Raining via Continual Learning CVPR 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations CVPR 2021
Continual Learning in Multilingual NMT via Language-Specific Embeddings EMNLP 2021
Overcoming Conflicting Data when Updating a Neural Semantic Parser EMNLP 2021
TAILOR: Teaching with Active and Incremental Learning for Object Registration AAAI 2021
Enabling Fast Instruction-Based Modification of Learned Robot Skills AAAI 2021