research
∙
03/11/2023
Enhancing Protein Language Models with Structure-based Encoder and Pre-training
Protein language models (PLMs) pre-trained on large-scale protein sequen...
share
research
∙
01/28/2023
Physics-Inspired Protein Encoder Pre-Training via Siamese Sequence-Structure Diffusion Trajectory Prediction
Pre-training methods on proteins are recently gaining interest, leveragi...
research
∙
01/28/2023
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
Current protein language models (PLMs) learn protein representations mai...
research
∙
11/23/2022
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data
Modeling spatial relationship in the data remains critical across many d...
research
∙
05/26/2022
HIRL: A General Framework for Hierarchical Image Representation Learning
Learning self-supervised image representations has been broadly studied ...
research
∙
05/25/2022
Spotlights: Probing Shapes from Spherical Viewpoints
Recent years have witnessed the surge of learned representations that di...
research
∙
03/11/2022
Protein Representation Learning by Geometric Structure Pretraining
Learning effective protein representations is critical in a variety of t...
research
∙
02/16/2022
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
Machine learning has huge potential to revolutionize the field of drug d...
research
∙
02/01/2022
HCSC: Hierarchical Contrastive Selective Coding
Hierarchical semantic structures naturally exist in an image dataset, in...
research
∙
08/26/2021
Cross-category Video Highlight Detection via Set-based Learning
Autonomous highlight detection is crucial for enhancing the efficiency o...
research
∙
08/16/2021
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
Cross-domain object detection and semantic segmentation have witnessed i...
research
∙
06/08/2021
Self-supervised Graph-level Representation Learning with Local and Global Structure
This paper studies unsupervised/self-supervised whole-graph representati...
research
∙
04/27/2021
Graphical Modeling for Multi-Source Domain Adaptation
Multi-Source Domain Adaptation (MSDA) focuses on transferring the knowle...
research
∙
07/17/2020
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
Transferring knowledges learned from multiple source domains to target d...
research
∙
03/28/2020
Cross-domain Detection via Graph-induced Prototype Alignment
Applying the knowledge of an object detector trained on a specific domai...
research
∙
12/04/2019
Adversarial Domain Adaptation with Domain Mixup
Recent works on domain adaptation reveal the effectiveness of adversaria...
research
∙
04/03/2019