4 citations · 7 across the 7 of their papers we have counts for
7 papers
F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax
Byung-Ju Choi, Jimin Hong, David Keetae Park +1
Despite recent advances in neural text generation, encoding the rich diversity in human language remains elusive. We argue that the sub-optimal text generation is mainly attributab…
What and Where to Translate: Local Mask-based Image-to-Image Translation
Wonwoong Cho, Seunghwan Choi, Junwoo Park +3
Recently, image-to-image translation has obtained significant attention. Among many, those approaches based on an exemplar image that contains the target style information has been…
Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation
Wonwoong Cho, Sungha Choi, David Keetae Park +2
Recently, unsupervised exemplar-based image-to-image translation, conditioned on a given exemplar without the paired data, has accomplished substantial advancements. In order to tr…
Interpreting Models by Allowing to Ask
Sungmin Kang, David Keetae Park, Jaehyuk Chang +1
Questions convey information about the questioner, namely what one does not know. In this paper, we propose a novel approach to allow a learning agent to ask what it considers as t…
Question-Aware Sentence Gating Networks for Question and Answering
Minjeong Kim, David Keetae Park, Hyungjong Noh +2
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…
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
David Keetae Park, Seungjoo Yoo, Hyojin Bahng +2
Recently, generative adversarial networks (GANs) have shown promising performance in generating realistic images. However, they often struggle in learning complex underlying modali…