Search Results for author: David Keetae Park

Found 7 papers, 2 papers with code

F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax

no code implementations20 Sep 2020 Byung-Ju Choi, Jimin Hong, David Keetae Park, Sang Wan Lee

Despite recent advances in neural text generation, encoding the rich diversity in human language remains elusive.

Text Generation

What and Where to Translate: Local Mask-based Image-to-Image Translation

no code implementations9 Jun 2019 Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo

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.

Image-to-Image Translation Translation

Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation

2 code implementations CVPR 2019 Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo

However, applying this approach in image translation is computationally intensive and error-prone due to the expensive time complexity and its non-trivial backpropagation.

Image-to-Image Translation Style Transfer +1

Interpreting Models by Allowing to Ask

no code implementations13 Nov 2018 Sungmin Kang, David Keetae Park, Jaehyuk Chang, Jaegul Choo

Questions convey information about the questioner, namely what one does not know.


Question-Aware Sentence Gating Networks for Question and Answering

no code implementations20 Jul 2018 Minjeong Kim, David Keetae Park, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo

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.

Question Answering Reading Comprehension +1

Cannot find the paper you are looking for? You can Submit a new open access paper.