Summary of Elucidating and Overcoming the Challenges Of Label Noise in Supervised Contrastive Learning, by Zijun Long et al.
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learningby Zijun Long, George…
Summary of Dfrd: Data-free Robustness Distillation For Heterogeneous Federated Learning, by Kangyang Luo et al.
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learningby Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang…
Summary of Adversarial Attacks on Image Classification Models: Fgsm and Patch Attacks and Their Impact, by Jaydip Sen and Subhasis Dasgupta
Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impactby Jaydip Sen,…
Summary of Effective Data Augmentation with Diffusion Models, by Brandon Trabucco et al.
Effective Data Augmentation With Diffusion Modelsby Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan SalakhutdinovFirst submitted…
Summary of Towards Understanding the Effect Of Pretraining Label Granularity, by Guan Zhe Hong et al.
Towards Understanding the Effect of Pretraining Label Granularityby Guan Zhe Hong, Yin Cui, Ariel Fuxman,…
Summary of Communication-efficient and Privacy-preserving Feature-based Federated Transfer Learning, by Feng Wang et al.
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learningby Feng Wang, M. Cenk Gursoy, Senem VelipasalarFirst submitted…
Summary of Attention Augmented Convolutional Networks, by Irwan Bello et al.
Attention Augmented Convolutional Networksby Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, Quoc V. LeFirst…