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01/30/2022
Co-Regularized Adversarial Learning for Multi-Domain Text Classification
Multi-domain text classification (MDTC) aims to leverage all available r...
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01/29/2022
Maximum Batch Frobenius Norm for Multi-Domain Text Classification
Multi-domain text classification (MDTC) has obtained remarkable achievem...
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08/14/2021
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation
Adversarial domain adaptation has made impressive advances in transferri...
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05/25/2021
Context-Sensitive Visualization of Deep Learning Natural Language Processing Models
The introduction of Transformer neural networks has changed the landscap...
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02/19/2021
Conditional Adversarial Networks for Multi-Domain Text Classification
In this paper, we propose conditional adversarial networks (CANs), a fra...
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01/31/2021
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification
Using the shared-private paradigm and adversarial training has significa...
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07/07/2020
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Recent advances on unsupervised domain adaptation (UDA) rely on adversar...
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11/12/2017
Natural Language Inference with External Knowledge
Modeling informal inference in natural language is very challenging. Wit...
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08/04/2017