70 recent research papers in Deep Learning – Free Download

Artificial intelligence (AI) is a thriving field in this century with many practical applications. We look to AI and machine learning tools to automate routine labor, understand speech or images, make diagnoses in medicine, and support basic scientific research.

Deep Learning is a relatively new area, introduced to move machine learning closer to one of its original goals: Artificial Intelligence. It is an approach to AI or a type of machine learning that allows the computers to build complex concepts from simpler concepts and represent the world as a nested hierarchy of concepts.

Deep Learning introduces multiple levels of representation in which more abstract representations are computed with simpler representations. This helps us make sense of complex datasets such as images, videos, sound, etc. In just the past few years, deep learning has taken the world by surprise, driving rapid progress in computer vision, natural language processing (NLP), speech recognition, reinforcement learning, etc.

With these advancements, we can now build cars that drive themselves with more autonomy than ever before, smart reply systems that automatically draft the most mundane emails, and software agents that dominate humans. They already have an ever-widening impact on our lives, playing a big role in technology and sciences — from biology to astrophysics.

In this post, we list the top 70 research papers and projects in deep learning, published recently. Feel free to download. Share your own research papers with us to be added to this list.