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09/29/2022
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
Open-domain dialogue systems aim to interact with humans through natural...
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12/04/2021
Hierarchical Neural Data Synthesis for Semantic Parsing
Semantic parsing datasets are expensive to collect. Moreover, even the q...
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06/08/2021
Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
A natural language database interface (NLDB) can democratize data-driven...
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06/07/2021
A Globally Normalized Neural Model for Semantic Parsing
In this paper, we propose a globally normalized model for context-free g...
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01/01/2021
Semantic Parsing with Less Prior and More Monolingual Data
Semantic parsing is the task of converting natural language utterances t...
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12/30/2020
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing
Due to the common belief that training deep transformers from scratch re...
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08/15/2020
Evaluating Lossy Compression Rates of Deep Generative Models
The field of deep generative modeling has succeeded in producing astonis...
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02/24/2020
Variational Hyper RNN for Sequence Modeling
In this work, we propose a novel probabilistic sequence model that excel...
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11/10/2019
Preventing Posterior Collapse in Sequence VAEs with Pooling
Variational Autoencoders (VAEs) hold great potential for modelling text,...
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05/28/2019
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer
In this work, we develop a novel regularizer to improve the learning of ...
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05/28/2019
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement
Existing controllable text generation systems rely on annotated attribut...
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05/28/2019
A Cross-Domain Transferable Neural Coherence Model
Coherence is an important aspect of text quality and is crucial for ensu...
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12/03/2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Deep neural networks are known to suffer the catastrophic forgetting pro...
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05/09/2018
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
We propose a novel regularizer to improve the training of Generative Adv...
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05/09/2018
Adversarial Contrastive Estimation
Learning by contrasting positive and negative samples is a general strat...
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10/30/2017
Implicit Manifold Learning on Generative Adversarial Networks
This paper raises an implicit manifold learning perspective in Generativ...
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08/10/2017
Automatic Selection of t-SNE Perplexity
t-Distributed Stochastic Neighbor Embedding (t-SNE) is one of the most w...
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11/24/2015
Transductive Log Opinion Pool of Gaussian Process Experts
We introduce a framework for analyzing transductive combination of Gauss...
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11/16/2015
Adversarial Manipulation of Deep Representations
We show that the representation of an image in a deep neural network (DN...
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10/28/2014
