Kyung-Min Kim | DeepAI

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Featured Co-authors

Jung-Woo Ha
57 publications
Byoung-Tak Zhang
52 publications
Jaewoo Kang
51 publications
Hyunwoo J. Kim
26 publications
Jin-Hwa Kim
26 publications
Sang-Woo Lee
25 publications
Hyun Oh Song
22 publications
Minkyu Kim
19 publications
Young-Jin Park
16 publications
Jinyoung Park
16 publications
Jisu Jeong
14 publications

∙ 01/30/2023

Designing an offline reinforcement learning objective from scratch

Offline reinforcement learning has developed rapidly over the recent yea...

0 Gaon An, et al. ∙

∙ 12/07/2022

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning

Recent studies have proposed unified user modeling frameworks that lever...

0 Kyuyong Shin, et al. ∙

∙ 07/06/2022

Ask Me What You Need: Product Retrieval using Knowledge from GPT-3

As online merchandise become more common, many studies focus on embeddin...

0 Su Young Kim, et al. ∙

∙ 06/29/2022

Deformable Graph Transformer

Transformer-based models have been widely used and achieved state-of-the...

6 Jinyoung Park, et al. ∙

∙ 05/31/2022

VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting

Time series models aim for accurate predictions of the future given the ...

8 Kashif Rasul, et al. ∙

∙ 05/27/2022

Hazard Gradient Penalty for Survival Analysis

Survival analysis appears in various fields such as medicine, economics,...

0 Seungjae Jung, et al. ∙

∙ 03/26/2022

Metropolis-Hastings Data Augmentation for Graph Neural Networks

Graph Neural Networks (GNNs) often suffer from weak-generalization due t...

46 Hyeonjin Park, et al. ∙

∙ 11/15/2021

Scaling Law for Recommendation Models: Towards General-purpose User Representations

A recent trend shows that a general class of models, e.g., BERT, GPT-3, ...

0 Kyuyong Shin, et al. ∙

∙ 10/15/2021

Intent-based Product Collections for E-commerce using Pretrained Language Models

Building a shopping product collection has been primarily a human job. W...

0 Hiun Kim, et al. ∙

∙ 09/05/2021

Global-Local Item Embedding for Temporal Set Prediction

Temporal set prediction is becoming increasingly important as many compa...

0 Seungjae Jung, et al. ∙

∙ 05/24/2021

One4all User Representation for Recommender Systems in E-commerce

General-purpose representation learning through large-scale pre-training...

0 Kyuyong Shin, et al. ∙

∙ 03/01/2021

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning

In recent years, graph neural networks (GNNs) have been widely adopted i...

0 Dasol Hwang, et al. ∙

∙ 01/31/2021

M2FN: Multi-step Modality Fusion for Advertisement Image Assessment

Assessing advertisements, specifically on the basis of user preferences ...

0 Kyung-Wha Park, et al. ∙

∙ 11/21/2020

A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting

Probabilistic time-series models become popular in the forecasting field...

0 Seungjae Jung, et al. ∙

∙ 07/16/2020

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs

Graph neural networks have shown superior performance in a wide range of...

26 Dasol Hwang, et al. ∙

∙ 07/05/2020

Multi-Manifold Learning for Large-scale Targeted Advertising System

Messenger advertisements (ads) give direct and personal user experience ...

0 Kyuyong Shin, et al. ∙

∙ 06/26/2020

Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments

Graph representation learning is gaining popularity in a wide range of a...

0 Young-Jin Park, et al. ∙

∙ 10/06/2019

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion

Assessing aesthetic preference is a fundamental task related to human co...

0 Kyung-Wha Park, et al. ∙

∙ 07/24/2019

Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation

Graph Neural Networks (GNNs) have been emerging as a promising method fo...

0 Kyung-Min Kim, et al. ∙

∙ 09/21/2018

Multimodal Dual Attention Memory for Video Story Question Answering

We propose a video story question-answering (QA) architecture, Multimoda...

0 Kyung-Min Kim, et al. ∙

∙ 07/04/2017

DeepStory: Video Story QA by Deep Embedded Memory Networks

Question-answering (QA) on video contents is a significant challenge for...

0 Kyung-Min Kim, et al. ∙