Machine Learning Stagnation
Mark challenges the current state of machine learning research, likening researchers to medieval priests and questioning the lack of risk-taking in the field. He highlights the shift towards safe, citation-driven work and the implications for the future of innovation in machine learning.In this clip
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Machine Learning Street Talk (MLST)
#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
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