How to find papers for deep learning beginners

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How to find papers for deep learning beginners [Copy link]

农名工

For beginners of deep learning, finding the right papers can help them understand the latest research progress and technical trends in this field. Here are some ways:

Academic search engines :
- Using academic search engines such as Google Scholar, PubMed, IEEE Xplore, etc., you can search for papers in related fields by keywords.
- By selecting appropriate keywords based on your interests and needs, you can narrow the search scope and find papers that better meet your needs.
Citation :
- When reading a relevant paper, you can check the citations of the paper and other papers cited by the paper. These citations are usually related to the original paper and can help you find more relevant research results.
Conferences and Journals :
- Pay attention to well-known conferences and journals in the field of deep learning, such as NeurIPS, ICML, CVPR, IJCV, etc. These conferences and journals have published a large number of deep learning related papers.
- You can regularly visit the official websites of these conferences and journals to learn about the latest research results and paper publications.
Social media platforms and forums :
- Join deep learning related social platforms and forums, such as Twitter, Reddit, Quora, etc., and follow experts and researchers in the field of deep learning, who usually share some of the latest research results and papers.
- By participating in discussions and exchanges, you can learn about the hot topics and issues that some researchers are paying attention to, and find relevant papers.
Mentor and peer recommendations :
- If you have mentors or colleagues working in the field of deep learning, you can ask them for recommendations and learn about some valuable papers and research directions.
- Communicating with supervisors and peers can provide more advice and guidance to help you find the right paper.

In summary, through the above channels, deep learning beginners can find a large number of relevant papers and gradually understand the research progress and cutting-edge technologies in this field.

chenxiaohong68

Deep learning beginners can find suitable papers through the following channels:

1. Academic search engines

Google Scholar : Google Scholar is a powerful academic search engine that can retrieve academic papers in various fields.
IEEE Xplore : IEEE Xplore is an academic database in the fields of electronic engineering and computer science, which contains a large number of papers in the field of electronics.
arXiv : arXiv is a free preprint and academic paper database covering papers in many fields including mathematics, physics, computer science, etc.

2. Academic journals and conferences

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) : This is an important journal covering the latest research results in the field of pattern recognition and machine intelligence.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) : CVPR is the top conference in the field of computer vision, and publishes a large number of excellent deep learning papers every year.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) : ICASSP is an important conference in the field of signal processing, and there are also many papers related to deep learning.

3. Recommendation by field experts

Mentors or professors : If you are taking a deep learning-related course or research project, you can ask for recommendations from mentors or professors.
Industry practitioners : Participate in deep learning communities or forums, seek recommendations from industry practitioners, and learn about current research hotspots and classic papers.

4. Open Source Projects and Blogs

GitHub : Many deep learning research projects publish their papers and source code on GitHub. You can find related projects through GitHub search.
Blogs and technical communities : Some well-known deep learning experts share their research results and experiences on personal blogs or technical communities. You can learn about the latest research trends by reading these blogs.

5. Review and research papers

Review papers : Reading review papers can help you understand the research status and development trends in a specific field, and provide comprehensive background knowledge for your deep learning.
Research papers : Some research institutions or universities will publish research reports or technical white papers on specific issues. These documents are also important sources for understanding the latest industry dynamics and technological trends.

6. Social Media and Online Communities

Twitter : Follow experts and research institutions in the field of deep learning, who often share the latest research results and paper links.
Reddit : On the deep learning related subreddit, you can find paper recommendations and discussions shared by other scholars and practitioners.

Through the above channels, you can find a large number of deep learning papers, covering all aspects from basic theory to cutting-edge research. Choosing appropriate papers to read and study will help you quickly understand the development trend and application prospects of deep learning.

liu6677

As a beginner in deep learning, finding the right papers is an important way to learn and understand the field of deep learning. Here are some suggestions:

1. Academic search engines:

Use academic search engines such as Google Scholar, PubMed, IEEE Xplore, etc. These search engines provide a large number of academic paper resources and can search for relevant papers based on keywords and fields.

2. Top conferences and journals:

Pay attention to the top academic conferences and journals in the field of deep learning, such as NeurIPS, ICML, CVPR, IJCAI, etc. These conferences and journals have published many cutting-edge deep learning research results.

3. Author and Instructor:

Follow some famous authors and mentors in the field of deep learning. They usually publish their paper lists on their personal websites or academic platforms. You can find their papers by looking up their profiles.

4. Review and survey papers:

Read some review and survey papers, which summarize and summarize the research progress in the field of deep learning, helping you quickly understand the research dynamics and trends in this field.

5. Social Media and Forums:

Pay attention to social media and forums in the field of deep learning, such as Twitter, Reddit, Quora, etc. People often share the latest research papers and discussion topics on these platforms, so you can keep up to date with the latest research progress.

6. Open source projects and datasets:

Participate in the development and use of some open source projects and datasets. These projects and datasets usually come with related papers and documents to help you understand related research results and application scenarios.

Through the above channels, you can find a large number of deep learning paper resources, and by reading and studying these papers, you can gain a deeper understanding of the research content and progress in the field of deep learning. At the same time, it is recommended that you choose some papers related to your interests and research directions for in-depth reading and research.