Significant strides have been made using large vision-language models, l...
Interpreting the learned features of vision models has posed a longstand...
Significant progress has recently been made in creative applications of ...
A fundamental challenge of over-parameterized deep learning models is
le...
Batch normalization (BN) is a ubiquitous technique for training deep neu...
A fundamental challenge in artificial intelligence is learning useful
re...
The 3D deep learning community has seen significant strides in pointclou...
Deep classifiers tend to associate a few discriminative input variables ...
The latent variables learned by VAEs have seen considerable interest as ...
Over-parameterized deep models usually over-fit to a given training
dist...
The scarcity of richly annotated medical images is limiting supervised d...
The linear and non-flexible nature of deep convolutional models makes th...
Recently, there have been several successful deep learning approaches fo...
Simultaneous segmentation of multiple organs from different medical imag...
Skip connections in deep networks have improved both segmentation and
cl...