no code implementations • 22 Aug 2023 • Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo
In this work, we revisited experiments on IRS with review datasets and compared RL-based models with a simple reward model that greedily recommends the item with the highest one-step reward.
1 code implementation • 21 Aug 2023 • Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Lee, Jaegul Choo
In this paper, we introduce ST-RAP, a novel Spatio-Temporal framework for Real estate APpraisal.
1 code implementation • 9 Jun 2023 • Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo
To address this issue, we propose a novel URL framework that causally predicts future states while increasing the dimension of the latent manifold by decorrelating the features in the latent space.
1 code implementation • 12 Oct 2022 • Junwoo Park, Youngwoo Cho, Gyuhyeon Sim, Hojoon Lee, Jaegul Choo
By exploiting the advantage of the game environment, we construct a gunshot dataset, namely BGG, for the firearm classification and gunshot localization tasks.
1 code implementation • 27 Apr 2022 • Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo
To alleviate this problem, we propose DraftRec, a novel hierarchical model which recommends characters by considering each player's champion preferences and the interaction between the players.
1 code implementation • 11 Apr 2022 • Kyushik Min, Hyunho Lee, Kwansu Shin, Taehak Lee, Hojoon Lee, Jinwon Choi, Sungho Son
Recently, Reinforcement Learning (RL) has been actively researched in both academic and industrial fields.
no code implementations • 5 Nov 2021 • Kha Dinh Duy, Taehyun Noh, Siwon Huh, Hojoon Lee
Hence, researchers have leveraged the Trusted Execution Environments (TEEs) to build confidential ML computation systems.
no code implementations • 17 Aug 2021 • Hojoon Lee, Dongyoon Hwang, Sunghwan Hong, Changyeon Kim, Seungryong Kim, Jaegul Choo
Successful sequential recommendation systems rely on accurately capturing the user's short-term and long-term interest.
no code implementations • 1 Jan 2021 • Junsoo Lee, Hojoon Lee, Inkyu Shin, Jaekyoung Bae, In So Kweon, Jaegul Choo
Learning visual representations using large-scale unlabelled images is a holy grail for most of computer vision tasks.