1 code implementation • 27 Oct 2022 • Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
The forward and backward cost are thus linear to the number of edges, which each attention head can also choose flexibly based on the input.
1 code implementation • 21 Jul 2022 • Seonwoo Min, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim
In this work, we advocate for leveraging natural language supervision for the domain generalization task.
1 code implementation • 6 Jul 2022 • Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
We show that standard Transformers without graph-specific modifications can lead to promising results in graph learning both in theory and practice.
Ranked #15 on Graph Regression on PCQM4Mv2-LSC
no code implementations • 24 Nov 2021 • Sungmin Cha, Seonwoo Min, Sungroh Yoon, Taesup Moon
Namely, we make the supervised pre-training of Neural DUDE compatible with the adaptive fine-tuning of the parameters based on the given noisy data subject to denoising.
1 code implementation • 23 Jul 2021 • Seonwoo Min, Byunghan Lee, Sungroh Yoon
Results: In this paper, we introduce TargetNet, a novel deep learning-based algorithm for functional miRNA target prediction.
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 #18 on Only Connect Walls Dataset Task 1 (Grouping) on OCW (using extra training data)
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.
1 code implementation • 31 Oct 2017 • Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon
We propose an application of sequence generative adversarial networks (SeqGAN), which are generative adversarial networks for discrete sequence generation, for creating polyphonic musical sequences.
Sound Audio and Speech Processing
no code implementations • NeurIPS 2016 • Taesup Moon, Seonwoo Min, Byunghan Lee, Sungroh Yoon
We present a new framework of applying deep neural networks (DNN) to devise a universal discrete denoiser.
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.
no code implementations • 21 Mar 2016 • Seonwoo Min, Byunghan Lee, Sungroh Yoon
In the era of big data, transformation of biomedical big data into valuable knowledge has been one of the most important challenges in bioinformatics.