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Weonyoung Joo

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Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior

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Jan 09, 2024
Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon

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Loss-Curvature Matching for Dataset Selection and Condensation

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Mar 08, 2023
Seungjae Shin, Heesun Bae, Donghyeok Shin, Weonyoung Joo, Il-Chul Moon

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Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder

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Dec 09, 2020
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon

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Adversarial Likelihood-Free Inference on Black-Box Generator

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Apr 13, 2020
Dongjun Kim, Weonyoung Joo, Seungjae Shin, Il-Chul Moon

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Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation

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Apr 07, 2020
Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon

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Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables

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Mar 04, 2020
Weonyoung Joo, Dongjun Kim, Seungjae Shin, Il-Chul Moon

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Sequential Recommendation with Relation-Aware Kernelized Self-Attention

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Nov 15, 2019
Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon

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Dirichlet Variational Autoencoder

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Jan 09, 2019
Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon

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