Pinned Repositories
CAT-KD
CVPR 2023, Class Attention Transfer Based Knowledge Distillation
DATM
GzyAftermath.github.io
Neural-Network-Diffusion
We introduce a novel approach for parameter generation, named neural network diffusion (\textbf{p-diff}, p stands for parameter), which employs a standard latent diffusion model to synthesize a new set of parameters
workshop
Osprey Delight is the free-minded artist's choice for a clutter-free and blazingly fast single-page portfolio.
CAFE
This is a method of dataset condensation, and it has been accepted by CVPR-2022.
DATM
ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
GzyAftermath's Repositories
GzyAftermath/CAT-KD
CVPR 2023, Class Attention Transfer Based Knowledge Distillation
GzyAftermath/DATM
GzyAftermath/GzyAftermath.github.io
GzyAftermath/Neural-Network-Diffusion
We introduce a novel approach for parameter generation, named neural network diffusion (\textbf{p-diff}, p stands for parameter), which employs a standard latent diffusion model to synthesize a new set of parameters
GzyAftermath/workshop
Osprey Delight is the free-minded artist's choice for a clutter-free and blazingly fast single-page portfolio.