no code implementations • 22 Mar 2024 • Kyohoon Jin, Junho Lee, Juhwan Choi, Sangmin Song, Youngbin Kim
Inspired by recent studies on decision boundaries, this paper proposes a decision-boundary-aware data augmentation strategy to enhance robustness using pretrained language models.
1 code implementation • 8 Feb 2024 • Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, Youngbin Kim
Rule-based text data augmentation is widely used for NLP tasks due to its simplicity.
1 code implementation • 8 Feb 2024 • Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, Youngbin Kim
Text data augmentation is a complex problem due to the discrete nature of sentences.
1 code implementation • 11 May 2022 • Duyoung Jeon, Junho Lee, Cheongtag Kim
The emotion taxonomy of the 43 emotions is systematically established by cluster analysis of Korean emotion concepts expressed on word embedding space.
2 code implementations • ICLR 2022 • Jaewoong Choi, Junho Lee, Changyeon Yoon, Jung Ho Park, Geonho Hwang, Myungjoo Kang
The global warpage implies that the latent space is not well-aligned globally and therefore the global traversal directions are bound to show limited success on it.
1 code implementation • CVPR 2021 • Cheol-Hui Min, Jinseok Bae, Junho Lee, Young Min Kim
We present GATSBI, a generative model that can transform a sequence of raw observations into a structured latent representation that fully captures the spatio-temporal context of the agent's actions.
1 code implementation • 29 Sep 2020 • Yeachan Park, Myeongho Jeon, Junho Lee, Myungjoo Kang
Experimental results on both synthetic and real-world rainy datasets demonstrate that the proposed model significantly outperforms existing state-of-the-art models.
Ranked #1 on Single Image Deraining on RainCityscapes
no code implementations • 25 Sep 2019 • Eunju Cha, Jaeduck Jang, Junho Lee, Eunha Lee, Jong Chul Ye
However, the computation of the divergence term in SURE is difficult to implement in a neural network framework, and the condition to avoid trivial identity mapping is not well defined.
no code implementations • 18 Jun 2019 • Eunju Cha, Jaeduck Jang, Junho Lee, Eunha Lee, Jong Chul Ye
In this paper, we show that the recent unsupervised learning methods such as Noise2Noise, Stein's unbiased risk estimator (SURE)-based denoiser, and Noise2Void are closely related to each other in their formulation of an unbiased estimator of the prediction error, but each of them are associated with its own limitations.
1 code implementation • 18 Dec 2018 • Junho Lee, Nicolas Chanon, Andrew Levin, Jing Li, Meng Lu, Qiang Li, Yajun Mao
Studying the longitudinally polarized fraction of $W^\pm W^\pm$ scattering at the LHC is crucial to examine the unitarization mechanism of the vector boson scattering amplitude through Higgs and possible new physics.
High Energy Physics - Phenomenology High Energy Physics - Experiment