An Effective Diverse Decoding Scheme for Robust Synonymous Sentence Translation

no code implementations • AMTA 2016 • Youngki Park, Hwidong Na, Hodong Lee, Jihyun Lee, Inchul Song

Sentence Translation

String-based Molecule Generation via Multi-decoder VAE

no code implementations • 23 Aug 2022 • Kisoo Kwon, Kuhwan Jung, Junghyun Park, Hwidong Na, Jinwoo Shin

In this paper, we investigate the problem of string-based molecular generation via variational autoencoders (VAEs) that have served a popular generative approach for various tasks in artificial intelligence.

SpeechBrain: A General-Purpose Speech Toolkit

4 code implementations • 8 Jun 2021 • Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato de Mori, Yoshua Bengio

SpeechBrain is an open-source and all-in-one speech toolkit.

Language Identification Spoken Language Understanding

ECAPA-TDNN Embeddings for Speaker Diarization

no code implementations • 3 Apr 2021 • Nauman Dawalatabad, Mirco Ravanelli, François Grondin, Jenthe Thienpondt, Brecht Desplanques, Hwidong Na

Learning robust speaker embeddings is a crucial step in speaker diarization.

speaker-diarization Speaker Diarization +1

Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning

1 code implementation • ICLR 2021 • Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien

Model-agnostic meta-learning (MAML) is a popular method for few-shot learning but assumes that we have access to the meta-training set.

Few-Shot Learning

Postech's System Description for Medical Text Translation Task

no code implementations • WS 2014 • Jianri Li, Se-Jong Kim, Hwidong Na, Jong-Hyeok Lee

Information Retrieval Language Modelling +2