Weonyoung Joo

20 papers A* 4A 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generalized Gumbel-Softmax gradient estimator for generic discrete random variables.
Pattern Recognit. Lett.
Weonyoung Joo, Dongjun Kim, Seungjae Shin, Il-Chul Moon
2024 A* conf
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior.
AAAI
Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon
2024 J jnl
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior.
CoRR
Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon
2023 A conf
Loss-Curvature Matching for Dataset Selection and Condensation.
AISTATS
Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon
2023 J jnl
Loss-Curvature Matching for Dataset Selection and Condensation.
CoRR
Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon
2023 J jnl
Sequential Likelihood-Free Inference with Neural Proposal.
Pattern Recognit. Lett.
Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo
2022 J jnl
Constructing a personalized recommender system for life insurance products with machine-learning techniques.
Intell. Syst. Account. Finance Manag.
Hyeongwoo Kong, Wonje Yun, Weonyoung Joo, Ju-Hyun Kim, Kyoung-Kuk Kim, Il-Chul Moon, Woo Chang Kim
2021 A* conf
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder.
AAAI
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon
2020 J jnl
Adversarial Likelihood-Free Inference on Black-Box Generator.
CoRR
Dongjun Kim, Weonyoung Joo, Seungjae Shin, Il-Chul Moon
2020 J jnl
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder.
CoRR
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon
2020 A conf
Deep Generative Positive-Unlabeled Learning under Selection Bias.
CIKM
Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon
2020 J jnl
Dirichlet Variational Autoencoder.
Pattern Recognit.
Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon
2020 J jnl
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables.
CoRR
Weonyoung Joo, Dongjun Kim, Seungjae Shin, Il-Chul Moon
2020 — conf
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation.
EMNLP (Findings)
Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon
2020 J jnl
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation.
CoRR
Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon
2020 A* conf
Sequential Recommendation with Relation-Aware Kernelized Self-Attention.
AAAI
Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon
2020 J jnl
The layer number of α-evenly distributed point sets.
Discret. Math.
Ilkyoo Choi, Weonyoung Joo, Minki Kim
2019 J jnl
Dirichlet Variational Autoencoder.
CoRR
Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon
2019 J jnl
Sequential Recommendation with Relation-Aware Kernelized Self-Attention.
CoRR
Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon
2018 A* conf
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling.
ICDM
Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon