8 citations · 31 across the 5 of their papers we have counts for
5 papers
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement
Byungsoo Jeon, Sunghyun Park, Peiyuan Liao +3
The strong demand for efficient and performant deployment of Deep Learning (DL) applications prompts the rapid development of a rich DL ecosystem. To keep up with this fast advance…
Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos
Byungsoo Jeon, Namyong Park
This paper addresses a key challenge in MOOC dropout prediction, namely to build meaningful representations from clickstream data. While a variety of feature extraction techniques…
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning
Byungsoo Jeon, Namyong Park, Seojin Bang
Massive Open Online Courses (MOOCs) have become popular platforms for online learning. While MOOCs enable students to study at their own pace, this flexibility makes it easy for st…
Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States
Byungsoo Jeon, Eyal Shafran, Luke Breitfeller +2
This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at-risk,…
Attentive Interaction Model: Modeling Changes in View in Argumentation
Yohan Jo, Shivani Poddar, Byungsoo Jeon +3
We present a neural architecture for modeling argumentative dialogue that explicitly models the interplay between an Opinion Holder's (OH's) reasoning and a challenger's argument,…