Project Title
awesome-deep-learning-papers — Curated List of the Most Cited Deep Learning Papers (2012-2016)
Overview
The awesome-deep-learning-papers project is a curated list of the most cited deep learning papers from 2012 to 2016. It aims to provide a concise and high-quality selection of seminal deep learning papers that are considered must-reads across various research domains. This project stands out for its focus on the impact and applicability of the papers rather than just the number of citations.
Key Features
- Curated list of top 100 deep learning papers
- Criteria-based inclusion of papers based on citations and impact
- Sections for new papers, old papers, and more than top 100 papers
- Tools for downloading papers and collecting authors' names
Use Cases
- Researchers looking for seminal deep learning papers to read and cite
- Educators seeking foundational papers for course materials
- Practitioners needing a quick reference to key developments in deep learning
Advantages
- High-quality selection of papers that have significant impact across domains
- Organized structure that makes it easy to find relevant papers
- Community-driven, allowing for continuous updates and improvements
Limitations / Considerations
- The list is not being actively maintained, which may limit its currency
- Focuses on papers from 2012 to 2016, potentially missing more recent developments
- Requires a basic understanding of deep learning to fully appreciate the papers
Similar / Related Projects
- Deep Vision: A list of deep learning resources focused on computer vision, offering a more specialized collection.
- Awesome Recurrent Neural Networks: A curated list of RNN resources, providing a narrower focus on a specific type of neural network.
- Deep Learning Papers Reading Roadmap: A more extensive list that includes a broader range of deep learning papers, potentially overwhelming for those seeking a concise selection.
Basic Information
- GitHub: https://github.com/terryum/awesome-deep-learning-papers
- Stars: 25,942
- License: Unknown
- Last Commit: 2025-08-20
📊 Project Information
- Project Name: awesome-deep-learning-papers
- GitHub URL: https://github.com/terryum/awesome-deep-learning-papers
- Programming Language: TeX
- ⭐ Stars: 25,942
- 🍴 Forks: 4,467
- 📅 Created: 2016-06-03
- 🔄 Last Updated: 2025-08-20
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This article is automatically generated by AI based on GitHub project information and README content analysis