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05/02/2021
Directional FDR Control for Sub-Gaussian Sparse GLMs
High-dimensional sparse generalized linear models (GLMs) have emerged in...
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03/28/2021
On Hallucination and Predictive Uncertainty in Conditional Language Generation
Despite improvements in performances on different natural language gener...
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12/24/2020
Why Neural Machine Translation Prefers Empty Outputs
We investigate why neural machine translation (NMT) systems assign high ...
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12/30/2019
Disentangled Representation Learning with Wasserstein Total Correlation
Unsupervised learning of disentangled representations involves uncoverin...
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08/27/2019
Text Modeling with Syntax-Aware Variational Autoencoders
Syntactic information contains structures and rules about how text sente...
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11/18/2018
Quantifying Uncertainties in Natural Language Processing Tasks
Reliable uncertainty quantification is a first step towards building exp...
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11/01/2018
Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications
Deep neural networks with remarkably strong generalization performances ...
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10/31/2018
Dirichlet Variational Autoencoder for Text Modeling
We introduce an improved variational autoencoder (VAE) for text modeling...
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04/30/2017
Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation
Different from other sequential data, sentences in natural language are ...
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02/01/2016