no code implementations • 17 Jan 2024 • Euna Jung, Jaekeol Choi, Eunggu Yun, Wonjong Rhee
Specifically, we consider \textit{On-Off pattern} and \textit{PathCount} for investigating how information is stored in deep representations.
1 code implementation • 23 Nov 2022 • Jangwon Suh, Jimyeong Kim, Euna Jung, Wonjong Rhee
The performance of cardiac arrhythmia detection with electrocardiograms(ECGs) has been considerably improved since the introduction of deep learning models.
1 code implementation • 1 Sep 2022 • Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee
In particular, many of the high-performing dense retrieval models evaluate representations of query and document using BERT, and subsequently apply a cosine-similarity based scoring to determine the relevance.
no code implementations • 24 Feb 2022 • Jaekeol Choi, Euna Jung, Sungjun Lim, Wonjong Rhee
The traditional approach, however, is being rapidly replaced by Neural Ranking Models (NRMs) that can exploit semantic features.
1 code implementation • 28 Oct 2021 • Euna Jung, Jaekeol Choi, Wonjong Rhee
The results confirm that both lightweight fine-tuning and semi-Siamese are considerably helpful for improving BERT-based bi-encoders.
1 code implementation • 11 Mar 2021 • Jaekeol Choi, Euna Jung, Jangwon Suh, Wonjong Rhee
When monoBERT is used as the cross-encoder teacher, together with either TwinBERT or ColBERT as the bi-encoder teacher, TRMD produces a student bi-encoder that performs better than the corresponding baseline bi-encoder.
no code implementations • 28 Aug 2020 • Kyungeun Lee, Moonjung Eo, Euna Jung, Yoonjin Yoon, Wonjong Rhee
2) We briefly explain a wide range of DNN techniques from the earliest networks, including Restricted Boltzmann Machines, to the most recent, including graph-based and meta-learning networks.