Weonyoung Joo

1. Loss-Curvature Matching for Dataset Selection and Condensation
   2023/03/08 by Seungjae Shin, Shin, Seungjae, Heesun Bae +7 · 7 citations
   Computer Science · #Advanced Neural Network Applications #Machine Learning and Data Classification #Neural Networks and Applications
2. Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables
   2020/03/04 by Weonyoung Joo, Joo, Weonyoung, Dongjun Kim +5 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
3. Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
   2024/01/09 by Young‐Jae Cho, HeeSun Bae, Cho, Youngjae +9 · 3 citations
   Computer Science · #Advanced Neural Network Applications #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
4. Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
   2020/11/24 by Hyemi Kim, Seungjae Shin, Kim, Hyemi +11 · 1 citation
   Computer Science · Neuroscience · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Psychology of Moral and Emotional Judgment
5. Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation
   2020/04/07 by Seungjae Shin, Kyungwoo Song, Shin, Seungjae +9 · 1 citation
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling