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Continual Learning

1895 directly classified papers

Papers per year

Papers

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning CVPR 2021
Rectification-Based Knowledge Retention for Continual Learning CVPR 2021
Incremental Learning via Rate Reduction CVPR 2021
Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection CVPR 2021
Continual Learning via Bit-Level Information Preserving CVPR 2021
Prototype Augmentation and Self-Supervision for Incremental Learning CVPR 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning CVPR 2021
Layerwise Optimization by Gradient Decomposition for Continual Learning CVPR 2021
On Learning the Geodesic Path for Incremental Learning CVPR 2021
KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning CVPR 2021
Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation CVPR 2021
Language Scaling for Universal Suggested Replies Model NAACL 2021
Exploiting Curriculum Learning in Unsupervised Neural Machine Translation EMNLP 2021
Continual General Chunking Problem and SyncMap AAAI 2021
Overcoming Catastrophic Forgetting in Graph Neural Networks AAAI 2021
Continual Learning by Using Information of Each Class Holistically AAAI 2021
DER: Dynamically Expandable Representation for Class Incremental Learning CVPR 2021
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation CVPR 2021
Online Meta-Learning via Learning with Layer-Distributed Memory NIPS 2021
Formalizing the Generalization-Forgetting Trade-off in Continual Learning NIPS 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning NIPS 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning NIPS 2021
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time NIPS 2021
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning NIPS 2021
Self-Improving Semantic Perception for Indoor Localisation CORL 2021