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Reading list for the Advanced Machine Learning Course

[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs

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Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)

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Pytorch implementation of Meta-Learned Confidence for Few-shot Learning

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Caffe: a fast open framework for deep learning.

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