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xialeiliu authored Aug 5, 2020
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Expand Up @@ -29,13 +29,13 @@ to defy forgetting in classification tasks (**arXiv 2019**) [[paper](https://arx
- <a name="todo"></a> Memory-Efficient Incremental Learning Through Feature Adaptation (**ECCV2020**) [[paper](https://arxiv.org/abs/2004.00713)]
- <a name="todo"></a> Small-Task Incremental Learning (**ECCV2020**) [[paper](https://arxiv.org/abs/2004.13513)]
- <a name="todo"></a> Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference (**ECCV2020**) [[paper](https://arxiv.org/abs/2007.12540)]
- <a name="todo"></a> More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning (**ECCV2020**) [[paper]()]
- <a name="todo"></a> Learning latent representions across multiple data domains using Lifelong VAEGAN (**ECCV2020**) [[paper](https://arxiv.org/abs/2007.10221)]
- <a name="todo"></a> Online Continual Learning under Extreme Memory Constraints (**ECCV2020**) [[paper](https://arxiv.org/abs/2008.01510)]
- <a name="todo"></a> Class-Incremental Domain Adaptation (**ECCV2020**) [[paper](https://arxiv.org/abs/2008.01389)]
- <a name="todo"></a> More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning (**ECCV2020**) [[paper]()]
- <a name="todo"></a> Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation (**ECCV2020**) [[paper]()]
- <a name="todo"></a> Greedy Sampler and Dumb Learner: A Surprisingly Effective Approach for Continual Learning (**ECCV2020**) [[paper]()]
- <a name="todo"></a> Imbalanced Continual Learning with Partitioning Reservoir Sampling (**ECCV2020**) [[paper]()]
- <a name="todo"></a> Online Continual Learning under Extreme Memory Constraints (**ECCV2020**) [[paper]()]
- <a name="todo"></a> Class-Incremental Domain Adaptation (**ECCV2020**) [[paper]()]
- <a name="todo"></a> Topology-Preserving Class-Incremental Learning (**ECCV2020**) [[paper]()]
- <a name="todo"></a> OvA-INN: Continual Learning with Invertible Neural Networks (**IJCNN2020**) [[paper](https://arxiv.org/abs/2006.13772)]
- <a name="todo"></a> XtarNet: Learning to Extract Task-Adaptive Representation
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