research
∙
06/25/2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer
Sequential recommendation requires understanding the dynamic patterns of...
share
research
∙
05/23/2023
Text Is All You Need: Learning Language Representations for Sequential Recommendation
Sequential recommendation aims to model dynamic user behavior from histo...
research
∙
05/09/2023
Learning to Personalize Recommendation based on Customers' Shopping Intents
Understanding the customers' high level shopping intent, such as their d...
research
∙
05/09/2023
Learning Personalized Page Content Ranking Using Customer Representation
On E-commerce stores, there are rich recommendation content to help shop...
research
∙
05/09/2023
Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification Performance
Fine-grained multi-label classification models have broad applications i...
research
∙
05/09/2023
FishRecGAN: An End to End GAN Based Network for Fisheye Rectification and Calibration
We propose an end-to-end deep learning approach to rectify fisheye image...
research
∙
05/07/2023
Data Efficient Training with Imbalanced Label Sample Distribution for Fashion Detection
Multi-label classification models have a wide range of applications in E...
research
∙
04/14/2022
Information fusion approach for biomass estimation in a plateau mountainous forest using a synergistic system comprising UAS-based digital camera and LiDAR
Forest land plays a vital role in global climate, ecosystems, farming an...
research
∙
09/14/2021
Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization
Being able to reply with a related, fluent, and informative response is ...
research
∙
09/13/2021
Text is NOT Enough: Integrating Visual Impressions intoOpen-domain Dialogue Generation
Open-domain dialogue generation in natural language processing (NLP) is ...
research
∙
08/23/2021
Efficient Medical Image Segmentation Based on Knowledge Distillation
Recent advances have been made in applying convolutional neural networks...
research
∙
08/04/2021
Analysis of an Incomplete Binary Outcome Dichotomized From an Underlying Continuous Variable in Clinical Trials
In many clinical trials, outcomes of interest include binary-valued endp...
research
∙
05/22/2021
Two-stage Training for Learning from Label Proportions
Learning from label proportions (LLP) aims at learning an instance-level...
research
∙
02/18/2021
Learning to Select Context in a Hierarchical and Global Perspective for Open-domain Dialogue Generation
Open-domain multi-turn conversations mainly have three features, which a...
research
∙
12/19/2018
