research
∙
07/21/2022
Human-centric Image Cropping with Partition-aware and Content-preserving Features
Image cropping aims to find visually appealing crops in an image, which ...
share
research
∙
07/07/2022
Evolution of Popularity Bias: Empirical Study and Debiasing
Popularity bias is a long-standing challenge in recommender systems. Suc...
research
∙
04/05/2021
A Non-sequential Approach to Deep User Interest Model for CTR Prediction
Click-Through Rate (CTR) prediction plays an important role in many indu...
research
∙
03/13/2020
Mutual Information Maximization for Effective Lip Reading
Lip reading has received an increasing research interest in recent years...
research
∙
03/04/2020
Learning to Hash with Graph Neural Networks for Recommender Systems
Graph representation learning has attracted much attention in supporting...
research
∙
01/06/2020
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
The bulk synchronous parallel (BSP) is a celebrated synchronization mode...
research
∙
10/28/2019
Attenuating Random Noise in Seismic Data by a Deep Learning Approach
In the geophysical field, seismic noise attenuation has been considered ...
research
∙
08/18/2019
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings
Scene Classification has been addressed with numerous techniques in comp...
research
∙
08/16/2019
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning
Deep learning is a popular machine learning technique and has been appli...
research
∙
11/09/2015