research
∙
08/26/2023
Implementing Performance Portability of High Performance Computing Programs in the New Golden Age of Chip Architecture
As an important goal of high-performance computing, the concept of perfo...
share
research
∙
04/20/2023
Prompt-Learning for Cross-Lingual Relation Extraction
Relation Extraction (RE) is a crucial task in Information Extraction, wh...
research
∙
09/20/2022
Vega-MT: The JD Explore Academy Translation System for WMT22
We describe the JD Explore Academy's submission of the WMT 2022 shared g...
research
∙
09/07/2022
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation
Pre-Training (PT) of text representations has been successfully applied ...
research
∙
04/16/2022
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation
For multilingual sequence-to-sequence pretrained language models (multil...
research
∙
04/01/2022
Selecting task with optimal transport self-supervised learning for few-shot classification
Few-Shot classification aims at solving problems that only a few samples...
research
∙
03/15/2022
CSN: Component-Supervised Network for Few-Shot Classification
The few-shot classification (FSC) task has been a hot research topic in ...
research
∙
03/08/2022
Where Does the Performance Improvement Come From? – A Reproducibility Concern about Image-Text Retrieval
This paper seeks to provide the information retrieval community with som...
research
∙
12/31/2021
Confronting the Carbon-footprint Challenge of Blockchain
The distributed consensus mechanism is the backbone of the rapidly devel...
research
∙
12/01/2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
In recent years, researchers pay growing attention to the few-shot learn...
research
∙
08/23/2021
Semantic-Preserving Adversarial Text Attacks
Deep neural networks (DNNs) are known to be vulnerable to adversarial im...
research
∙
04/22/2021
Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition
In a conventional domain adaptation person Re-identification (Re-ID) tas...
research
∙
02/03/2021
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach
Visual attention in Visual Question Answering (VQA) targets at locating ...
research
∙
10/23/2020
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
In recent years, the attention mechanism contributes significantly to hy...
research
∙
10/09/2020
Targeted Attention Attack on Deep Learning Models in Road Sign Recognition
Real world traffic sign recognition is an important step towards buildin...
research
∙
08/21/2020
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples
Domain adaptation aims to generalize a model from a source domain to tac...
research
∙
04/10/2020
Person Re-Identification via Active Hard Sample Mining
Annotating a large-scale image dataset is very tedious, yet necessary fo...
research
∙
04/23/2019
Multiview Hessian Regularization for Image Annotation
The rapid development of computer hardware and Internet technology makes...
research
∙
04/01/2019
Optimal Low-Latency Network Topologies for Cluster Performance Enhancement
We propose that clusters interconnected with network topologies having m...
research
∙
03/07/2019
Label Embedded Dictionary Learning for Image Classification
Recently, label consistent k-svd(LC-KSVD) algorithm has been successfull...
research
∙
06/21/2018
Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition
Recently, manifold regularized semi-supervised learning (MRSSL) received...
research
∙
06/21/2018
Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition
It is of great importance to preserve locality and similarity informatio...
research
∙
08/07/2016
Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition
The ever-growing popularity of Kinect and inertial sensors has prompted ...
research
∙
07/15/2013
Multiview Hessian Discriminative Sparse Coding for Image Annotation
Sparse coding represents a signal sparsely by using an overcomplete dict...
research
∙
05/04/2013
