The self-attention mechanism (SAM) is widely used in various fields of
a...
In computer vision, the performance of deep neural networks (DNNs) is hi...
Diffusion models, which have emerged to become popular text-to-image
gen...
The structural re-parameterization (SRP) technique is a novel deep learn...
Geometry problem solving is a well-recognized testbed for evaluating the...
More and more empirical and theoretical evidence shows that deepening ne...
Aiming to ensure chatbot quality by predicting chatbot failure and enabl...
Attention mechanism has gained great success in vision recognition. Many...
Recently many effective self-attention modules are proposed to boot the ...
Real-world image super-resolution is a practical image restoration probl...
Recently, deep learning models have made great progress in MWP solving o...
In this paper, we revisit the solving bias when evaluating models on cur...
Previous math word problem solvers following the encoder-decoder paradig...
Automatic math problem solving has recently attracted increasing attenti...
Deep convolutional networks have attracted great attention in image
rest...
Developing conversational agents to interact with patients and provide
p...
A practical automatic textual math word problems (MWPs) solver should be...
Automatically evaluating dialogue coherence is a challenging but high-de...
Target-guided open-domain conversation aims to proactively and naturally...
Recently, deep learning based single image super-resolution(SR) approach...
This paper reviews the first challenge on efficient perceptual image
enh...