Summary of Progressive Monitoring Of Generative Model Training Evolution, by Vidya Prasad et al.
Progressive Monitoring of Generative Model Training Evolutionby Vidya Prasad, Anna Vilanova, Nicola PezzottiFirst submitted to…
Summary of Scaled Conjugate Gradient Method For Nonconvex Optimization in Deep Neural Networks, by Naoki Sato et al.
Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networksby Naoki Sato, Koshiro Izumi,…
Summary of Few-shot Learning with Adaptive Weight Masking in Conditional Gans, by Jiacheng Hu et al.
Few-Shot Learning with Adaptive Weight Masking in Conditional GANsby Jiacheng Hu, Zhen Qi, Jianjun Wei,…
Summary of Badsfl: Backdoor Attack Against Scaffold Federated Learning, by Xingshuo Han et al.
BadSFL: Backdoor Attack against Scaffold Federated Learningby Xingshuo Han, Xuanye Zhang, Xiang Lan, Haozhao Wang,…
Summary of Parallelly Tempered Generative Adversarial Networks, by Jinwon Sohn and Qifan Song
Parallelly Tempered Generative Adversarial Networksby Jinwon Sohn, Qifan SongFirst submitted to arxiv on: 18 Nov…
Summary of Controllable Game Level Generation: Assessing the Effect Of Negative Examples in Gan Models, by Mahsa Bazzaz and Seth Cooper
Controllable Game Level Generation: Assessing the Effect of Negative Examples in GAN Modelsby Mahsa Bazzaz,…
Summary of Diffgan: a Test Generation Approach For Differential Testing Of Deep Neural Networks, by Zohreh Aghababaeyan et al.
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networksby Zohreh Aghababaeyan, Manel…
Summary of Synthetic Data Generation For Residential Load Patterns Via Recurrent Gan and Ensemble Method, by Xinyu Liang et al.
Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Methodby Xinyu Liang,…
Summary of Mgmd-gan: Generalization Improvement Of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership Inference Attacks, by Nirob Arefin
MGMD-GAN: Generalization Improvement of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership…
Summary of Taegan: Generating Synthetic Tabular Data For Data Augmentation, by Jiayu Li et al.
TAEGAN: Generating Synthetic Tabular Data For Data Augmentationby Jiayu Li, Zilong Zhao, Kevin Yee, Uzair…