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MLT __init__ Session #11: ResNet strikes back
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📌 Paper Reading
📌 Ross Wightman, Hugo Touvron, Hervé Jégou (2021): ResNet strikes back: An improved training procedure in timm
👉 PRESENTER BIO
Ross Wightman is an Angel Investor. Ex-head of Software, Firmware Engineering at Avigilon. Currently, he is building ML, AI systems or investing in startups that do it better.
🤖 ABOUT MLT __init__
A monthly event led by Jayson Cunanan and J. Miguel Valverde where a paper is first presented by a volunteer and then discussed among all attendees. Our goal is to give participants good initializations to study Deep Learning effectively. We also hope to promote collaboration between participants. We will try to achieve this by:
* Discussing fundamental papers whose key ideas apply to state-of-the-art models.
* Providing the audience with summaries, codes, and visualizations to help understand the critical parts of a research paper.
● ORGANIZERS’ BIO
👉 J. Miguel Valverde is a Ph.D. student at the University of Eastern Finland working on Rodent MRI Segmentation with Deep Learning. He has multiple research experiences across Europe and Japan. In his free time, he enjoys nature, learning languages, programming, and making food.
👉 Jayson Cunanan is an AI Researcher/Engineer at AI inside. He obtained a Ph.D. in Mathematics at Nagoya University and was awarded the JSPS Postdoctoral Fellowship 2018. In his free time, he loves playing the guitar.
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MLT (Machine Learning Tokyo)
📌 Ross Wightman, Hugo Touvron, Hervé Jégou (2021): ResNet strikes back: An improved training procedure in timm
👉 PRESENTER BIO
Ross Wightman is an Angel Investor. Ex-head of Software, Firmware Engineering at Avigilon. Currently, he is building ML, AI systems or investing in startups that do it better.
🤖 ABOUT MLT __init__
A monthly event led by Jayson Cunanan and J. Miguel Valverde where a paper is first presented by a volunteer and then discussed among all attendees. Our goal is to give participants good initializations to study Deep Learning effectively. We also hope to promote collaboration between participants. We will try to achieve this by:
* Discussing fundamental papers whose key ideas apply to state-of-the-art models.
* Providing the audience with summaries, codes, and visualizations to help understand the critical parts of a research paper.
● ORGANIZERS’ BIO
👉 J. Miguel Valverde is a Ph.D. student at the University of Eastern Finland working on Rodent MRI Segmentation with Deep Learning. He has multiple research experiences across Europe and Japan. In his free time, he enjoys nature, learning languages, programming, and making food.
👉 Jayson Cunanan is an AI Researcher/Engineer at AI inside. He obtained a Ph.D. in Mathematics at Nagoya University and was awarded the JSPS Postdoctoral Fellowship 2018. In his free time, he loves playing the guitar.
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MLT (Machine Learning Tokyo)