# Machine Learning and Algorithms

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/machine-learning-and-algorithms-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 665,213 |
| Description | This cluster of papers revolves around the topic of active learning in machine learning research. It covers various aspects such as semi-supervised learning, deep learning, Gaussian processes, image classification, text categorization, batch mode active learning, statistical guarantees, and human-in-the-loop approaches. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T12072 |
| Works | 36,698 |

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Ross Girshick](https://scholariq.org/researchers/ross-girshick/)
- [Trevor Hastie](https://scholariq.org/researchers/trevor-hastie/)
- [Andrew Zisserman](https://scholariq.org/researchers/andrew-zisserman/)
- [Yann LeCun](https://scholariq.org/researchers/yann-lecun/)
- [Vladimir Vapnik](https://scholariq.org/researchers/vladimir-vapnik/)
- [Li Fei-Fei](https://scholariq.org/researchers/li-fei-fei/)
- [Ilya Sutskever](https://scholariq.org/researchers/ilya-sutskever/)
- [Jerome H. Friedman](https://scholariq.org/researchers/jerome-h-friedman/)
- [David Haussler](https://scholariq.org/researchers/david-haussler/)
- [Trevor Darrell](https://scholariq.org/researchers/trevor-darrell/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.