no code implementations • 25 May 2023 • Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
Several recent studies have elucidated why knowledge distillation (KD) improves model performance.
1 code implementation • 30 Sep 2022 • Minkyu Kim, Hyun-Soo Choi, Jinho Kim
Therefore, it can provide the high predictive performance and interpretability that high-stakes domains need.
no code implementations • 7 Apr 2022 • Minkyu Kim, Hyun-Soo Choi, Jinho Kim
However, existing graph neural networks only learn higher-order feature interactions implicitly.
1 code implementation • 11 Sep 2021 • Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
Furthermore, we question the potential of existing TAD methods by showing that an untrained model obtains comparable detection performance to the existing methods even when PA is forbidden.
1 code implementation • 25 Nov 2019 • Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
Bridging the exponentially growing gap between the numbers of unlabeled and labeled protein sequences, several studies adopted semi-supervised learning for protein sequence modeling.
Ranked #17 on Only Connect Walls Dataset Task 1 (Grouping) on OCW (using extra training data)
no code implementations • CVPR 2019 • Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyun-Soo Choi, Sungjin Kim
Here, recurrent neural network based adaptive text region representation is proposed for text region refinement, where a pair of boundary points are predicted each time step until no new points are found.
no code implementations • 28 Feb 2019 • Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
We propose a DL based steganalysis technique that effectively removes secret images by restoring the distribution of the original images.
no code implementations • 30 Jan 2019 • Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
The cover image with the secret message is called a stego image.
no code implementations • ECCV 2018 • Sunghun Kang, Junyeong Kim, Hyun-Soo Choi, Sungjin Kim, Chang D. Yoo
The architecture is trained to maximizes the correlation between the hidden states as well as the predictions of the modal-agnostic pivot stream and modal-specific stream in the network.
1 code implementation • NeurIPS 2017 • Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
MicroRNAs (miRNAs) are small non-coding ribonucleic acids (RNAs) which play key roles in post-transcriptional gene regulation.
no code implementations • 29 Apr 2016 • Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
Since microRNAs (miRNAs) play a crucial role in post-transcriptional gene regulation, miRNA identification is one of the most essential problems in computational biology.