Solving long sequential tasks poses a significant challenge in embodied
...
The one-epoch overfitting phenomenon has been widely observed in industr...
This work developed a kernel-based residual learning framework for
quadr...
Deep learning models have achieved promising disease prediction performa...
Modeling users' dynamic preferences from historical behaviors lies at th...
Neural video compression has emerged as a novel paradigm combining train...
Legged robots are becoming increasingly powerful and popular in recent y...
Recently, Deep Neural Networks (DNNs) have made remarkable progress for ...
Credit scoring is a major application of machine learning for financial
...
The next location recommendation is at the core of various location-base...
For sake of reliability, it is necessary for models in real-world
applic...
Recent successes of Deep Neural Networks (DNNs) in a variety of research...
In recent years, substantial progress has been made on Graph Convolution...
Flat optics foresees a new era of ultra-compact optical devices, where
m...
When dealing with continuous numeric features, we usually adopt feature
...
The prediction of click-through rate (CTR) is crucial for industrial
app...
Augmented reality (AR) has the potential to revolutionize the way in whi...
The advent of two-dimensional metamaterials in recent years has ushered ...