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09/03/2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions
The paradigm of machine intelligence moves from purely supervised learni...
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07/15/2022
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Task-free continual learning (CL) aims to learn a non-stationary data st...
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09/29/2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Recognizing new objects by learning from a few labeled examples in an ev...
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01/04/2021
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
We investigate large-scale latent variable models (LVMs) for neural stor...
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01/04/2021
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events
Large-scale pretrained language models have shown thrilling generation c...
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08/30/2019