9 citations · 10 across the 6 of their papers we have counts for
6 papers
RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing
Yuhan Tang, Kangxin Cui, Jung Ho Park +6
Ride-hailing platforms face the challenge of balancing passenger waiting times with overall system efficiency under highly uncertain supply-demand conditions. Adaptive delayed matc…
Weighted Multi-Prompt Learning with Description-free Large Language Model Distillation
Sua Lee, Kyubum Shin, Jung Ho Park
Recent advances in pre-trained Vision Language Models (VLM) have shown promising potential for effectively adapting to downstream tasks through prompt learning, without the need fo…
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering
Hoin Jung, Hyunsoo Cho, Myungje Choi +3
When it comes to a personalized item recommendation system, It is essential to extract users' preferences and purchasing patterns. Assuming that users in the real world form a clus…
Atlas flow : compatible local structures on the manifold
Taejin Paik, Jaemin Park, Jung Ho Park
In this paper, we focus on the intersections of a manifold's local structures to analyze the global structure of a manifold. We obtain local regions on data manifolds such as the l…
Isotropic Representation Can Improve Dense Retrieval
Euna Jung, Jungwon Park, Jaekeol Choi +2
The recent advancement in language representation modeling has broadly affected the design of dense retrieval models. In particular, many of the high-performing dense retrieval mod…
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
Jaewoong Choi, Junho Lee, Changyeon Yoon +3
The discovery of the disentanglement properties of the latent space in GANs motivated a lot of research to find the semantically meaningful directions on it. In this paper, we sugg…