Sparse rewards are one of the factors leading to low sample efficiency i...
Diffusion-based generative models have recently emerged as powerful solu...
Since Rendle and Krichene argued that commonly used sampling-based evalu...
Video processing and analysis have become an urgent task since a huge am...
There is a growing demand for shifting the delivery of AI capability fro...
User privacy is of great concern in Federated Learning, while Vision
Tra...
Nearest Neighbor Search (NNS) has recently drawn a rapid increase of int...
It is hard to generate an image at target view well for previous cross-v...
Python has become a popular programming language because of its excellen...
2D image-based virtual try-on has attracted increased attention from the...
The computational power increases over the past decades havegreatly enha...
Tensor algebra is widely used in many applications, such as scientific
c...
Efficient construction of checkpoints/snapshots is a critical tool for
t...
X-ray computed tomography is a commonly used technique for noninvasive
i...
Mobile devices are becoming an important carrier for deep learning tasks...
High-end mobile platforms rapidly serve as primary computing devices for...
Assuming hardware is the major constraint for enabling real-time mobile
...
To facilitate the deployment of deep neural networks (DNNs) on
resource-...
Recurrent neural networks (RNNs) based automatic speech recognition has
...
3D skeleton-based action recognition, owing to the latent advantages of
...
Accelerating DNN execution on various resource-limited computing platfor...
Weight pruning has been widely acknowledged as a straightforward and
eff...
To characterize circumstellar systems in high contrast imaging, the
fund...
With the emergence of a spectrum of high-end mobile devices, many
applic...
Model compression techniques on Deep Neural Network (DNN) have been wide...
In this paper, we study how the Pruned Landmark Labeling (PPL) algorithm...
With the rapid emergence of a spectrum of high-end mobile devices, many
...
Non-orthogonal multiple access (NoMA) as an efficient way of radio resou...