The proposed work focuses on the path planning for Unmanned Surface Vehi...
Despite the fact that adversarial training has become the de facto metho...
Graphs are omnipresent and GNNs are a powerful family of neural networks...
Large pre-trained transformers have been receiving explosive attention i...
Large pre-trained transformers are show-stealer in modern-day deep learn...
Sparse training has received an upsurging interest in machine learning d...
This paper reveals a new appeal of the recently emerged large-kernel
Con...
Feature selection that selects an informative subset of variables from d...
Sparse Neural Networks (SNNs) have received voluminous attention
predomi...
Despite their remarkable achievement, gigantic transformers encounter
si...
This article does not propose any novel algorithm or new hardware for
sp...
The receptive field (RF), which determines the region of time series to ...
Recent works have impressively demonstrated that there exists a subnetwo...
Lottery tickets (LTs) is able to discover accurate and sparse subnetwork...
Transformers have quickly shined in the computer vision world since the
...
Recent works on sparse neural network training (sparse training) have sh...
Generative adversarial networks (GANs) have received an upsurging intere...
Random pruning is arguably the most naive way to attain sparsity in neur...
Federated learning (FL) is vulnerable to heterogeneously distributed dat...
Assigning meaning to parts of image data is the goal of semantic image
s...
Recent works on sparse neural networks have demonstrated that it is poss...
Works on lottery ticket hypothesis (LTH) and single-shot network pruning...
In this paper, we introduce a new perspective on training deep neural
ne...
Sparse neural networks have been widely applied to reduce the necessary
...
Sparse neural networks are effective approaches to reduce the resource
r...
Large neural networks are very successful in various tasks. However, wit...
Long Short-Term Memory (LSTM) has achieved state-of-the-art performances...
Microarray gene expression has widely attracted the eyes of the public a...