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Jin-Hwa Kim

  1. Overcoming Catastrophic Forgetting by Incremental Moment Matching
    2017/03/24 by Sang-Woo Lee, Jin-Hwa Kim, Lee, Sang-Woo +7 · 42 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Topic Modeling #Multimodal Machine Learning Applications
  2. Bilinear Attention Networks
    2018/05/21 by Jin-Hwa Kim, Kim, Jin-Hwa, Jae-Hyun Jun +3 · 19 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
  3. Dense Text-to-Image Generation with Attention Modulation
    2023/08/24 by Yunji Kim, Jiyoung Lee, Kim, Yunji +7 · 16 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Video Analysis and Summarization
  4. Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
    2024/07/17 by Yong-Hyun Park, Park, Yong-Hyun, Sangdoo Yun +13 · 13 citations
    Neuroscience · Medicine · Biochemistry, Genetics and Molecular Biology · #Brain Tumor Detection and Classification #Medical Imaging Techniques and Applications #Cell Image Analysis Techniques
  5. Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
    2023/03/14 by Junyoung Seo, Wooseok Jang, Seo, Junyoung +15 · 6 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications
  6. Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
    2024/06/17 by Junha Hyung, Susung Hong, Hyung, Junha +9 · 7 citations
    Engineering · Computer Science · #Industrial Vision Systems and Defect Detection #Image Processing Techniques and Applications #Optical measurement and interference techniques
  7. SelecMix: Debiased Learning by Contradicting-pair Sampling
    2022/11/04 by Inwoo Hwang, Sang-Jun Lee, Hwang, Inwoo +11 · 5 citations
    Computer Science · Environmental Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Machine Learning and Data Classification
  8. Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
    2022/02/01 by Jaehoon Oh, Oh, Jaehoon, Sungnyun Kim +9 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  9. Query-Efficient Black-Box Red Teaming via Bayesian Optimization
    2023/05/27 by Lee, Deokjae, JunYeong Lee, Lee, JunYeong +10 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research #Software System Performance and Reliability #Topic Modeling
  10. Background-aware Moment Detection for Video Moment Retrieval
    2023/06/05 by Minjoon Jung, Youwon Jang, Jung, Minjoon +9 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  11. rnn : Recurrent Library for Torch
    2015/11/24 by Nicholas Léonard, Sagar Waghmare, Léonard, Nicholas +5 · 3 citations
    Computer Science · #Reinforcement Learning in Robotics #Music and Audio Processing #Handwritten Text Recognition Techniques
  12. TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
    2024/05/28 by Jae‐Woo Ahn, Ahn, Jaewoo, Lee, Taehyun +10 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  13. Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
    2021/05/31 by Jin-Hwa Kim, Kim, Jin-Hwa, Do-Hyeong Kim +5 · 1 citation
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
    2022/05/25 by Jin-Hwa Kim, Kim, Jin-Hwa, Yunji Kim +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  15. AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
    2022/10/08 by Se Jung Kwon, Kwon, Se Jung, Jeonghoon Kim +17 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech Recognition and Synthesis #Topic Modeling
  16. CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication
    2017/12/15 by Jin-Hwa Kim, Nikita Kitaev, Kim, Jin-Hwa +13 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  17. A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
    2024/11/01 by Yeonsung Jung, Jae Yun Song, Jung, Yeonsung +9 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification