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Survey on Latest Advances in Natural Language Processing Applications of Generative Adversarial Networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Image manipulation with natural language using Two-sided Attentive Conditional Generative Adversarial Network
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Wasserstein GAN based on Autoencoder with back-translation for cross-lingual embedding mappings
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Fine-tuning large neural language models for biomedical natural language processing
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Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist
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Deep Text Summarization using Generative Adversarial Networks in Indian Languages
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Acceptance of data sharing in smartphone apps from key industries of the digital transformation: A representative population survey for Germany
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Lecture Notes in Computer Science 1205
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Semantic Image Synthesis via Adversarial Learning
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Face aging with conditional generative adversarial networks
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Generative adversarial networks: introduction and outlook
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Long Text Generation via Adversarial Training with Leaked Information
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Automatic Detection of COVID-19 Disease by Using Transfer Learning of Light Weight Deep Learning Model
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InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
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GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
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Data Augmentation Generative Adversarial Networks
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Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
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An examination of synthetic images produced with DCGAN according to the size of data and epoch
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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G-Transgan: Semantic Translation of Gujarati Texts using GAN-based Augmentation and Optimized Transformer Models in Low-Resource Settings
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