research
∙
08/23/2023
Aligning Language Models with Offline Reinforcement Learning from Human Feedback
Learning from human preferences is crucial for language models (LMs) to ...
share
research
∙
06/20/2023
Transforming Graphs for Enhanced Attribute-Based Clustering: An Innovative Graph Transformer Method
Graph Representation Learning (GRL) is an influential methodology, enabl...
research
∙
03/29/2023
Three-way causal attribute partial order structure analysis
As an emerging concept cognitive learning model, partial order formal st...
research
∙
11/12/2022
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling
Temporal networks are suitable for modeling complex evolving systems. It...
research
∙
10/29/2020
Self-Supervised Video Representation Using Pretext-Contrastive Learning
Pretext tasks and contrastive learning have been successful in self-supe...
research
∙
08/06/2020
Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework
We propose a self-supervised method to learn feature representations fro...
research
∙
06/21/2020
Motion Representation Using Residual Frames with 3D CNN
Recently, 3D convolutional networks (3D ConvNets) yield good performance...
research
∙
01/16/2020
Rethinking Motion Representation: Residual Frames with 3D ConvNets for Better Action Recognition
Recently, 3D convolutional networks yield good performance in action rec...
research
∙
01/12/2020
