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04/11/2022
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis
Sentiment analysis is an important task in natural language processing. ...
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01/18/2021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
In this work, we explore joint energy-based model (EBM) training during ...
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05/02/2020
A Simple Language Model for Task-Oriented Dialogue
Task-oriented dialogue is often decomposed into three tasks: understandi...
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05/21/2019
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Over-dependence on domain ontology and lack of knowledge sharing across ...
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12/03/2018
Toward Scalable Neural Dialogue State Tracking Model
The latency in the current neural based dialogue state tracking models p...
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07/01/2018
Augmented Cyclic Adversarial Learning for Domain Adaptation
Training a model to perform a task typically requires a large amount of ...
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03/27/2018
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation
Domain adaptation plays an important role for speech recognition models,...
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07/02/2016
Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network
Early diagnosis, playing an important role in preventing progress and tr...
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07/02/2016
Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional Network
Early diagnosis, playing an important role in preventing progress and tr...
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04/17/2016
Structured Sparse Convolutional Autoencoder
This paper aims to improve the feature learning in Convolutional Network...
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01/12/2016
Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints
We demonstrate a new deep learning autoencoder network, trained by a non...
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11/13/2015