This AI research graph edition covers the key knowledge areas and important research papers related to Residual Neural Network (ResNet), including Kaiming He's 10-min presentation of "Deep Residual Learning for Image Recognition” paper.
From AlexNet to GPT-3, we curate a list of 10 papers that mark significant research advancements in machine learning, deep learning, computer vision, NLP, and reinforcement learning over the past 10 years. Author presentation and detailed paper reviews are also included.
Learn the research path of Google AI Language team research scientist Kristina Toutanova. Check out notable publications throughout her career on modeling the structure of natural language using machine learning.
This blog summarizes Andrew Ng's advice on how to read research papers and explore a machine learning career from his lecture in the Stanford CS230 Deep learning course.
ByMohamed Ali Habib
January 29, 2021
The year 2020 has presented many challenges, but it did not stop new AI research breakthroughs from the global community. Here is a list of 10 best papers and their presentations from this year's top AI conferences across machine learning, computer vision, NLP, robotics, and more.
Ever wondered what it takes to be a product manager? Here are 5 videos that you should watch to help you grasp a behind-the-scenes look on what the product manager role entails.
Turing Award winner & deep learning pioneer Yoshua Bengio shared in-depth insights on conscious deep learning and advice for AI researchers in an exclusive interview hosted by MIT assistant professor Song Han at NeurIPS2019.
Robin.ly interviews the CVPR 2019 Best Paper Award winner recipients Shumian Xin and Ioannis Gkioulekas of Carnegie Mellon University. They will share their experience, research, and insights on working on this paper.
Dr. Ji Liu shared his research experience in deep learning and as an assistant professor and Director at Kuaishou AI Labs
Dr. Le Lu shared his insights on modern medical imaging, his work at PAII Inc. and the future of deep learning in medical research.
Exclusive interview at NeurIPS 2019 about European Lab for Learning & Intelligent Systems (ELLIS) with Nuria Oliver.
Max Weiling of University of Amsterdam and VP of Technologies at Qualcomm Netherlands goes over some insights on machine learning, computing, AI, and more.
This blogs features NeurIPS 2019 Outstanding New Directions Paper Award winners, Vaishnavh Nagarajan and J. Zico Kolter. They explain how negative results showing that many existing bounds on the performance of deep learning algorithms don’t do what they claim.
Importance and limitations of data privacy, and the past and future of machine learning.
Dr. Hua shared inspiring thoughts on the trends and challenges of computer vision and the future of Artificial Intelligence.
Graph Neural Networks (GNNs) has seen rapid development recently. This blog provides a quick introduction to the methodology and summarizes some of the latest research on GNNs from top AI conferences.
This article looks into a new ECCV 2020 paper "Rewriting A Deep Generative Model" that enables direct editing of the GAN model to provide the desired output even if it does not match the dataset.
October 1, 2020
The 2019 AI Commercialization Conference features renowned AI tech leaders with extensive industry experience as guest speakers and a live panel discussion where they share their insight on the future of transportation.
This blog focuses on autonomous driving workshops and tutorials from the CVPR 2019 presentation conference.
September 16, 2020
Interview with Professor and Director of Stanford AI Lab, Christopher Manning during CVPR 2019. Manning goes over his journey in deep learning and shares his perspective on the future of NLP.
Zoom gained popularity during the COVID-19 pandemic when it became a key way of communication for work or personal-related matters. This article talks about how Zoom came to be one of the most popular ways of communication during this time.
September 16, 2020
Many companies have gravitated to remote working due to the COVID-19 pandemic. This Tech Leadership webinar co-hosted by TalentSeer and Robin.ly offers insights and tips on how to manage and work with a tech team from home.
September 9, 2020