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

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

🏷️ Project Topics

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awesome-deep-learning-papers

Project Description