10 citations · 22 across the 8 of their papers we have counts for
14 papers
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
Hojoon Lee, Koanho Lee, Dongyoon Hwang +3
Recently, unsupervised representation learning (URL) has improved the sample efficiency of Reinforcement Learning (RL) by pretraining a model from a large unlabeled dataset. The un…
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation
ChaeHun Park, Seungil Chad Lee, Daniel Rim +1
Despite the recent advances in open-domain dialogue systems, building a reliable evaluation metric is still a challenging problem. Recent studies proposed learnable metrics based o…
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
Kangyeol Kim, Sunghyun Park, Junsoo Lee +1
Recent remarkable improvements in large-scale text-to-image generative models have shown promising results in generating high-fidelity images. To further enhance editability and en…
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution
Sunghyun Park, Sunghyo Chung, Jungsoo Lee +1
Despite the recent remarkable improvements in scene text recognition (STR), the majority of the studies focused mainly on the English language, which only includes few number of ch…
RobustSwap: A Simple yet Robust Face Swapping Model against Attribute Leakage
Jaeseong Lee, Taewoo Kim, Sunghyun Park +2
Face swapping aims at injecting a source image's identity (i.e., facial features) into a target image, while strictly preserving the target's attributes, which are irrelevant to id…
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity
Taehee Kim, ChaeHun Park, Jimin Hong +3
Semantically meaningful sentence embeddings are important for numerous tasks in natural language processing. To obtain such embeddings, recent studies explored the idea of utilizin…