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cs.LG2019★ 17 cited
Topic Augmented Generator for Abstractive Summarization
Melissa Ailem, Bowen Zhang, Fei Sha
Steady progress has been made in abstractive summarization with attention-based sequence-to-sequence learning models. In this paper, we propose a new decoder where the output summa…
cs.LG2019
Amortized Inference of Variational Bounds for Learning Noisy-OR
Yiming Yan, Melissa Ailem, Fei Sha
Classical approaches for approximate inference depend on cleverly designed variational distributions and bounds. Modern approaches employ amortized variational inference, which use…