Transformer-based pretrained language models (PLMs) have achieved great
...
We introduce a game model called "customer attraction game" to demonstra...
Deep Neural Networks (DNNs) have significantly improved the accuracy of
...
Despite the success of deep-learning models in many tasks, there have be...
Reconstructing interacting hands from a single RGB image is a very
chall...
We investigate the model of multiple contests held in parallel, where ea...
Improving fairness between privileged and less-privileged sensitive attr...
Distributionally Robust Optimization (DRO), as a popular method to train...
Temporal grounding aims to locate a target video moment that semanticall...
Recent researches in artificial intelligence have proposed versatile
con...
Due to the wavelength-dependent light attenuation, refraction and scatte...
Not only can discovering patterns and insights from atmospheric data ena...
The Fisher market is one of the most fundamental models for resource
all...
Medical imaging datasets usually exhibit domain shift due to the variati...
Areas under ROC (AUROC) and precision-recall curves (AUPRC) are common
m...
Azuma's inequality is a tool for proving concentration bounds on random
...
This paper details our solution to Traffic4cast 2020. Similar to Traffic...
Video anomaly detection is commonly used in many applications such as
se...
The Empirical Revenue Maximization (ERM) is one of the most important pr...
Off-policy policy optimization is a challenging problem in reinforcement...
In this paper, we propose an adaptive weighting regression (AWR) method ...
Advertising becomes one of the most popular ways of monetizing an online...
Public goods are often either over-consumed in the absence of regulatory...
We consider two models of computation for Tarski's order preserving func...
Deep metric learning (DML) has received much attention in deep learning ...
Channel pruning can significantly accelerate and compress deep neural
ne...
The smart vehicles construct Vehicle of Internet which can execute vario...
Difference of convex (DC) functions cover a broad family of non-convex a...
We propose a simple yet effective deep tree-structured fusion model base...
We consider two canonical Bayesian mechanism design settings. In the
sin...