Summary of Dreamsampler: Unifying Diffusion Sampling and Score Distillation For Image Manipulation, by Jeongsol Kim et al.
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulationby Jeongsol Kim, Geon Yeong Park,…
Summary of Isotropic3d: Image-to-3d Generation Based on a Single Clip Embedding, by Pengkun Liu et al.
Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embeddingby Pengkun Liu, Yikai Wang, Fuchun Sun,…
Summary of Towards Adversarially Robust Dataset Distillation by Curvature Regularization, By Eric Xue et al.
Towards Adversarially Robust Dataset Distillation by Curvature Regularizationby Eric Xue, Yijiang Li, Haoyang Liu, Peiran…
Summary of Towards a Theory Of Model Distillation, by Enric Boix-adsera
Towards a theory of model distillationby Enric Boix-AdseraFirst submitted to arxiv on: 14 Mar 2024CategoriesMain:…
Summary of Learning From Straggler Clients in Federated Learning, by Andrew Hard et al.
Learning from straggler clients in federated learningby Andrew Hard, Antonious M. Girgis, Ehsan Amid, Sean…
Summary of Lix: Implicitly Infusing Spatial Geometric Prior Knowledge Into Visual Semantic Segmentation For Autonomous Driving, by Sicen Guo et al.
LIX: Implicitly Infusing Spatial Geometric Prior Knowledge into Visual Semantic Segmentation for Autonomous Drivingby Sicen…
Summary of Distilling the Knowledge in Data Pruning, by Emanuel Ben-baruch et al.
Distilling the Knowledge in Data Pruningby Emanuel Ben-Baruch, Adam Botach, Igor Kviatkovsky, Manoj Aggarwal, Gérard…
Summary of One Category One Prompt: Dataset Distillation Using Diffusion Models, by Ali Abbasi et al.
One Category One Prompt: Dataset Distillation using Diffusion Modelsby Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash,…
Summary of Peeraid: Improving Adversarial Distillation From a Specialized Peer Tutor, by Jaewon Jung et al.
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutorby Jaewon Jung, Hongsun Jang, Jaeyong Song,…
Summary of Adversarial Sparse Teacher: Defense Against Distillation-based Model Stealing Attacks Using Adversarial Examples, by Eda Yilmaz and Hacer Yalim Keles
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examplesby Eda Yilmaz, Hacer…