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Found 7 papers, 2 papers with code
F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax
Despite recent advances in neural text generation, encoding the rich diversity in human language remains elusive.
What and Where to Translate: Local Mask-based Image-to-Image Translation
First, those methods extract style from an entire exemplar which includes noisy information, which impedes a translation model from properly extracting the intended style of the exemplar.
Local Image-to-Image Translation via Pixel-wise Highway Adaptive Instance Normalization
Recently, image-to-image translation has seen a significant success.
Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation
However, applying this approach in image translation is computationally intensive and error-prone due to the expensive time complexity and its non-trivial backpropagation.
Interpreting Models by Allowing to Ask
Questions convey information about the questioner, namely what one does not know.
Question-Aware Sentence Gating Networks for Question and Answering
Machine comprehension question answering, which finds an answer to the question given a passage, involves high-level reasoning processes of understanding and tracking the relevant contents across various semantic units such as words, phrases, and sentences in a document.
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
Recently, generative adversarial networks (GANs) have shown promising performance in generating realistic images.
