As more deep learning models are being applied in real-world application...
As one of the largest e-commerce platforms in the world, Taobao's
recomm...
Attention mechanism has become the dominant module in natural language
p...
In this technical report, we present our 1st place solution for the ICDA...
The large-scale recommender system mainly consists of two stages: matchi...
This paper presents our solution for ICDAR 2021 competition on scientifi...
This paper presents our solution for the ICDAR 2021 Competition on Scien...
The search engine plays a fundamental role in online e-commerce systems,...
Graph Neural Networks (GNNs) have attracted considerable attention and h...
Recently, inspired by Transformer, self-attention-based scene text
recog...
In a large recommender system, the products (or items) could be in many
...
Most of ranking models are trained only with displayed items (most are h...
Computer vision with state-of-the-art deep learning models has achieved ...
How can we effectively utilise the 2D monocular image information for
re...
Attention based scene text recognizers have gained huge success, which
l...
In this paper, we study the problem of object counting with incomplete
a...
We present a novel high frequency residual learning framework, which lea...
We study in this paper how to initialize the parameters of multinomial
l...