Papers

2018

• Continual Learning for an Encoder-Decoder CNN Using “Piggyback” (NIPS2018)[paper]
• Freezing Networks: Weight Preservation Procedure for Continual Learning (NIPS2018) [paper]
• Generative Adversarial Networks and Continual Learning (NIPS2018) [paper]
• Continual Classification Learning Using Generative Models (NIPS2018) [paper]
• Few-Shot Self Reminder to Overcome Catastrophic Forgetting (NIPS2018) [paper]
• Parameter-efficient Transfer and Multitask Learning (NIPS2018) [paper]
• Generative Models from the perspective of Continual Learning (NIPS2018) [paper]
• Continual Learning with Generative Replay via Discriminative Variational Autoencoder (NIPS2018) [paper]
• Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines (NIPS2018) [paper]
• Meta Continual Learning (NIPS2018) [paper]
• Self-Supervised GAN to Counter (NIPS2018) [paper]
• Closed-Loop GAN for continual Learning (NIPS2018) [paper]
• Don’t forget, there is more than forgetting: new metrics for Continual Learning (NIPS2018) [paper]
• Memory Replay GANs: learning to generate images from new categories without forgetting (NIPS2018) [paper]
• Towards a natural benchmark for continual learning (NIPS2018) [paper]
• Memory Replay GANs: learning to generate images from new categories without forgetting
  (NIPS2018) [paper] [code]
• Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting (R-EWC) (ICPR2018) [paper] [code]
• Exemplar-Supported Generative Reproduction for Class Incremental Learning (BMVC2018)[paper][code]
• DeeSIL: Deep-Shallow Incremental Learning (ECCV2018) [paper]
• End-to-End Incremental Learning (ECCV2018) [paper][code]
• Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence (ECCV2018)[paper]
• Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights (ECCV2018) [paper] [code]
• Memory Aware Synapses: Learning what (not) to forget (ECCV2018) [paper] [code]
• Lifelong Learning via Progressive Distillation and Retrospection (ECCV2018) [paper]
• PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning (CVPR2018) [paper] [code]
• Overcoming Catastrophic Forgetting with Hard Attention to the Task (ICML2018) [paper] [code]
• Lifelong Learning with Dynamically Expandable Networks (ICLR2018) [paper]
• FearNet: Brain-Inspired Model for Incremental Learning (ICLR2018) [paper]

2017

• Overcoming catastrophic forgetting in neural networks (EWC) (PNAS2017) [paper] [code] [code]
• Continual Learning Through Synaptic Intelligence (ICML2017) [paper] [code]
• Gradient Episodic Memory for Continual Learning (NIPS2017) [paper] [code]
• iCaRL: Incremental Classifier and Representation Learning (CVPR2017) [paper] [code]
• Continual Learning with Deep Generative Replay (NIPS2017) [paper] [code]
• Overcoming Catastrophic Forgetting by Incremental Moment Matching (NIPS2017) [paper]
• Expert Gate: Lifelong Learning with a Network of Experts (CVPR2017) [paper]
• Encoder Based Lifelong Learning (ICCV2017) [paper]

2016

• Learning without forgetting (ECCV2016) [paper] [code]