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[D] Papers on experimental science in ML/DL

Stumbled upon the paper on the learning schedule for super-convergence by using very large learning rates by Leslie Smith and it blew my mind, and I was immediately thinking about what other papers exist that’ve made wonderous experimental discoveries in ML/DL that were never published due to them being, well, experimental in nature – and apparently these sort of papers are a no-no in the DL scientific community (at least for publication purposes).

Thus wondering; does anyone know what’s the best place to find more of these sort of papers / discoveries?

submitted by /u/Naveos
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.