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1
Serial Dependence Study in Medical Image Perception via Generative Models.
Serial Dependence Study in Medical Image Perception via Generative Models.
Ren, Zhihang.Vision Science. | University of California, Berkeley. | 2024
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2
Deep Generative Models: Design, Improvements and Applications.
Deep Generative Models: Design, Improvements and Applications.
Yan, Qing.Statistics. | The University of Chicago. | 2022
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3
Designing Deep Generative Models with Symbiotic Composition.
Designing Deep Generative Models with Symbiotic Composition.
Xiao, Zhisheng.Computational and Applied Mathemati | The University of Chicago. | 2022
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4
Towards Robust Models in Deep Learning: Regularizing Neural Networks and Generative Models.
Towards Robust Models in Deep Learning: Regularizing Neural Networks and Generative Models.
Bao, Ruying.Applied and Computational Mathematics. | Princeton University. | 2021
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5
Generative Models as a Robust Alternative for Image Classification: Progress and Challenge.
Generative Models as a Robust Alternative for Image Classification: Progress and Challenge.
Ju, An.Computer Science. | University of California, Berkeley. | 2021
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6
Leveraging Generative Models for Music and Signal Processing.
Leveraging Generative Models for Music and Signal Processing.
Thickstun, John.Computer Science and Engineering. | University of Washington. | 2021
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7
Human-Centric Deep Generative Models: The Blessing and the Curse.
Human-Centric Deep Generative Models: The Blessing and the Curse.
Yu, Ning.Computer Science. | University of Maryland, College Park. | 2021
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8
Generative Models of Biological Variations in Bulk and Single-Cell RNA-seq
Generative Models of Biological Variations in Bulk and Single-Cell RNA-seq
Mao, Weiguang. | University of Pittsburgh | 2020
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9
Modeling-Based Optimization for Robotic Manipulation.
Modeling-Based Optimization for Robotic Manipulation.
Huang, Zhiao.Computer Science and Engineering. | University of California, San Diego. | 2024
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10
Mining Visual Knowledge from Pre-Trained Models.
Mining Visual Knowledge from Pre-Trained Models.
Tang, Luming.Computer Science. | Cornell University. | 2024
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