Sang-goo Lee | DeepAI

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Featured Co-authors

Franck Dernoncourt
90 publications
Trung Bui
52 publications
Sang-Woo Lee
25 publications
Kang Min Yoo
24 publications
Walter Chang
20 publications
Taeuk Kim
17 publications
Jihoon Kim
9 publications
Hyunsoo Cho
9 publications
Hwiyeol Jo
9 publications
Jihun Choi
8 publications
Jinseok Seol
7 publications

∙ 06/05/2023

CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels

Utilizing language models (LMs) without internal access is becoming an a...

0 Hyunsoo Cho, et al. ∙

∙ 01/27/2023

Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning

As the size of the pre-trained language model (PLM) continues to increas...

0 Hyunsoo Cho, et al. ∙

∙ 12/21/2022

Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners

Through in-context learning (ICL), large-scale language models are effec...

0 Hyunsoo Cho, et al. ∙

∙ 10/20/2022

Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble

Out-of-distribution (OOD) detection aims to discern outliers from the in...

2 Hyunsoo Cho, et al. ∙

∙ 06/16/2022

Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator

Large-scale pre-trained language models (PLMs) are well-known for being ...

10 Hyuhng Joon Kim, et al. ∙

∙ 05/25/2022

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Despite recent explosion in research interests, in-context learning and ...

23 Junyeob Kim, et al. ∙

∙ 04/22/2022

Exploiting Session Information in BERT-based Session-aware Sequential Recommendation

In recommendation systems, utilizing the user interaction history as seq...

0 Jinseok Seol, et al. ∙

∙ 03/11/2022

Technologies for AI-Driven Fashion Social Networking Service with E-Commerce

The rapid growth of the online fashion market brought demands for innova...

0 Jinseok Seol, et al. ∙

∙ 10/13/2021

False Negative Distillation and Contrastive Learning for Personalized Outfit Recommendation

Personalized outfit recommendation has recently been in the spotlight wi...

0 Seongjae Kim, et al. ∙

∙ 05/18/2021

Masked Contrastive Learning for Anomaly Detection

Detecting anomalies is one fundamental aspect of a safety-critical softw...

25 Hyunsoo Cho, et al. ∙

∙ 05/07/2021

Contrastive Learning for Unsupervised Image-to-Image Translation

Image-to-image translation aims to learn a mapping between different gro...

0 Hanbit Lee, et al. ∙

∙ 09/23/2020

Semantics-Preserving Adversarial Training

Adversarial training is a defense technique that improves adversarial ro...

0 Wonseok Lee, et al. ∙

∙ 07/24/2020

IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?

We propose a novel method that enables us to determine words that deserv...

0 Jaeyoul Shin, et al. ∙

∙ 01/30/2020

Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction

With the recent success and popularity of pre-trained language models (L...

2 Taeuk Kim, et al. ∙

∙ 01/23/2020

Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation

Recent works have shown that generative data augmentation, where synthet...

0 Kang Min Yoo, et al. ∙

∙ 01/23/2020

Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation

Recent works have shown that generative data augmentation, where synthet...

0 Kang Min Yoo, et al. ∙

∙ 09/19/2019

Summary Level Training of Sentence Rewriting for Abstractive Summarization

As an attempt to combine extractive and abstractive summarization, Sente...

0 Sanghwan Bae, et al. ∙

∙ 08/25/2019

Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja

We propose a simple approach to train better Korean word representations...

0 Kang Min Yoo, et al. ∙

∙ 06/04/2019

A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching

We present a latent variable model for predicting the relationship betwe...

0 Jihun Choi, et al. ∙

∙ 03/06/2019

SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification

We present several techniques to tackle the mismatch in class distributi...

0 Sanghwan Bae, et al. ∙

∙ 09/07/2018

Data Augmentation for Spoken Language Understanding via Joint Variational Generation

Data scarcity is one of the main obstacles of domain adaptation in spoke...

0 Kang Min Yoo, et al. ∙

∙ 09/07/2018

Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations

Most existing recursive neural network (RvNN) architectures utilize only...

0 Taeuk Kim, et al. ∙

∙ 09/07/2018

Cell-aware Stacked LSTMs for Modeling Sentences

We propose a method of stacking multiple long short-term memory (LSTM) l...

0 Jihun Choi, et al. ∙

∙ 05/18/2018

SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension

We present a novel neural architecture for the Argument Reasoning Compre...

0 Taeuk Kim, et al. ∙

∙ 12/02/2017

Improving Visually Grounded Sentence Representations with Self-Attention

Sentence representation models trained only on language could potentiall...

0 Kang Min Yoo, et al. ∙

∙ 08/14/2017

Style2Vec: Representation Learning for Fashion Items from Style Sets

With the rapid growth of online fashion market, demand for effective fas...

0 Hanbit Lee, et al. ∙

∙ 08/05/2017

A Syllable-based Technique for Word Embeddings of Korean Words

Word embedding has become a fundamental component to many NLP tasks such...

0 Sanghyuk Choi, et al. ∙

∙ 07/10/2017

Learning to Compose Task-Specific Tree Structures

For years, recursive neural networks (RvNNs) have been shown to be suita...

0 Jihun Choi, et al. ∙

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