As an important goal of high-performance computing, the concept of
perfo...
Relation Extraction (RE) is a crucial task in Information Extraction, wh...
We describe the JD Explore Academy's submission of the WMT 2022 shared
g...
Pre-Training (PT) of text representations has been successfully applied ...
For multilingual sequence-to-sequence pretrained language models
(multil...
Few-Shot classification aims at solving problems that only a few samples...
The few-shot classification (FSC) task has been a hot research topic in
...
This paper seeks to provide the information retrieval community with som...
The distributed consensus mechanism is the backbone of the rapidly devel...
In recent years, researchers pay growing attention to the few-shot learn...
Deep neural networks (DNNs) are known to be vulnerable to adversarial im...
In a conventional domain adaptation person Re-identification (Re-ID) tas...
Visual attention in Visual Question Answering (VQA) targets at locating ...
In recent years, the attention mechanism contributes significantly to
hy...
Real world traffic sign recognition is an important step towards buildin...
Domain adaptation aims to generalize a model from a source domain to tac...
Annotating a large-scale image dataset is very tedious, yet necessary fo...
The rapid development of computer hardware and Internet technology makes...
We propose that clusters interconnected with network topologies having
m...
Recently, label consistent k-svd(LC-KSVD) algorithm has been successfull...
Recently, manifold regularized semi-supervised learning (MRSSL) received...
It is of great importance to preserve locality and similarity informatio...
The ever-growing popularity of Kinect and inertial sensors has prompted
...
Sparse coding represents a signal sparsely by using an overcomplete
dict...
Image enhancement is an important image processing technique that proces...