research
∙
03/17/2023
IRGen: Generative Modeling for Image Retrieval
While generative modeling has been ubiquitous in natural language proces...
share
research
∙
10/16/2021
Multimodal Dialogue Response Generation
Responsing with image has been recognized as an important capability for...
research
∙
06/21/2021
Graph Attention Networks with LSTM-based Path Reweighting
Graph Neural Networks (GNNs) have been extensively used for mining graph...
research
∙
06/19/2021
Learning Timestamp-Level Representations for Time Series with Hierarchical Contrastive Loss
This paper presents TS2Vec, a universal framework for learning timestamp...
research
∙
09/04/2020
Multivariate Time-series Anomaly Detection via Graph Attention Network
Anomaly detection on multivariate time-series is of great importance in ...
research
∙
06/16/2020
