original dataset
Fetch and Forge: Efficient Dataset Condensation for Object Detection Ding Qi1 Jian Li
It is crucial for accelerating network training and reducing data storage requirements.
Country:
- Europe > Switzerland > Zürich > Zürich (0.14)
- Asia > China > Shanghai > Shanghai (0.04)
- Europe > Netherlands > North Holland > Amsterdam (0.04)
Technology:
Country:
- North America > United States (0.04)
- Asia > Middle East > Israel > Tel Aviv District > Tel Aviv (0.04)
Technology:
Technology:
Provable and Efficient Dataset Distillation for Kernel Ridge Regression
Our code is available at GitHub.
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
Country:
- North America > United States (0.28)
- Europe > Netherlands > Gelderland > Nijmegen (0.04)
- Africa > Mali (0.04)
- (3 more...)
Industry:
- Health & Medicine > Therapeutic Area > Oncology (1.00)
- Health & Medicine > Nuclear Medicine (1.00)
- Health & Medicine > Diagnostic Medicine > Imaging (1.00)
- (4 more...)
Technology:
Positive-Unlabeled Compression on the Cloud
Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing XU, Dacheng Tao, Chang Xu
Neural Information Processing Systems http://nips.cc/
Technology:
TurningtheTables: Biased,Imbalanced,Dynamic TabularDatasetsforMLEvaluation
Inrecentyears, there has been a significant increase of publicly available unstructured data resources for computer vision and NLP tasks.
Country:
- Europe > France (0.04)
- North America > United States > Washington > King County > Seattle (0.04)
- North America > United States > California > Santa Clara County > Stanford (0.04)
- (3 more...)
Industry:
- Information Technology > Security & Privacy (1.00)
- Banking & Finance (0.94)
Technology:
Country:
- North America > United States > Minnesota > Hennepin County > Minneapolis (0.14)
- North America > United States > North Carolina (0.04)
- Europe > Belgium > Brussels-Capital Region > Brussels (0.04)
- (8 more...)
Technology:
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
Our source code for our work is available here.
Country:
- Asia > South Korea > Daejeon > Daejeon (0.04)
- North America > United States > California (0.04)
- North America > Nicaragua (0.04)
- North America > Montserrat (0.04)
Genre:
- Research Report > New Finding (1.00)
- Research Report > Experimental Study (1.00)
Industry:
- Health & Medicine > Therapeutic Area (1.00)
- Information Technology (0.92)
Technology:
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Performance Analysis > Accuracy (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.68)
