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.
A comprehensive graph mapping of knowledge areas and research paper presentations related to the new paper "Towards Causal Representation Learning" led by Yoshua Bengio and Bernhard Schölkopf.
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.
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.
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.
Want to improve your understanding and skills in the AI/ML domain this year? Check out these 10 best books published over the past two years that offer deep insights into the fundamentals and applications of AI.
A compilation of award-winning papers from ACL, CVPR, ECCV, ICML, NeurIPS, ICRA, and more in 2020.
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.
A quick guide for editing your user profile and picking your interests for better recommendations.
Easy steps to upload your research video and share with the community!
Share your research videos, discuss with peers, and get rewards!
The First 200 full-time students who participate in our tech research community will get a free ticket to the largest machine learning conference this year!
Demystify the machine learning models behind new AI applications by Google, Facebook, Amazon, Twitter, and Pinterest.
Importance and limitations of data privacy, and the past and future of machine learning.
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.
Max Weiling of University of Amsterdam and VP of Technologies at Qualcomm Netherlands goes over some insights on machine learning, computing, AI, and more.
Exclusive interview at NeurIPS 2019 about European Lab for Learning & Intelligent Systems (ELLIS) with Nuria Oliver.
Dr. Hua shared inspiring thoughts on the trends and challenges of computer vision and the future of Artificial Intelligence.
Dr. Le Lu shared his insights on modern medical imaging, his work at PAII Inc. and the future of deep learning in medical research.
Dr. Ji Liu shared his research experience in deep learning and as an assistant professor and Director at Kuaishou AI Labs
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.
For a data scientist, what does an average (and non-average) day look like? What’s great (and not so great) about the role? How’s working in Amazon like?
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.
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.
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.
This blog focuses on autonomous driving workshops and tutorials from the CVPR 2019 presentation conference.
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.
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.
Sam Liang, Founder of Otter.ai. Liang shares his journey to Otter.ai and how he started his startup.
Robin.ly interviews Forrest Ianholder, Ex-CEO and Co-Founder of DeepScale, talks about the challenges of starting the company and providing his insight on the future of deep learning.
Robin.ly interviews Irina Farooq, Chief Product Officer at Kinetica, where she shares her day-to-day responsibilities in her row and offers advice on entry-level product managers.
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.
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.
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