This paper introduces a new Convolutional Neural Network (ConvNet)
archi...
Learning against label noise is a vital topic to guarantee a reliable
pe...
Hierarchical clustering recursively partitions data at an increasingly f...
Uncertainties in Deep Neural Network (DNN)-based perception and vehicle'...
In an autonomous driving system, it is essential to recognize vehicles,
...
Quantum random number generators (QRNGs) can produce true random numbers...
Recent studies show that crowd-sourced Natural Language Inference (NLI)
...
Authentication is the task of confirming the matching relationship betwe...
We present HDP-VFL, the first hybrid differentially private (DP) framewo...
Privacy-preserving recommendations are recently gaining momentum, since ...
Attention-based methods have played an important role in model
interpret...
Model interpretation is essential in data mining and knowledge discovery...
In this paper, we report our recent practice at Tencent for user modelin...
With the recent proliferation of the use of text classifications, resear...
Nowadays, news apps have taken over the popularity of paper-based media,...
We propose a framework for answering open domain multi-hop questions in ...
Natural language inference (NLI) aims at predicting the relationship bet...
Natural Language Sentence Matching (NLSM) has gained substantial attenti...