Pruning Techniques Revisited
Jonathan questions the validity of pruning techniques in machine learning, highlighting cherry-picking of results and lack of scientific rigor in the field. Kanjun agrees, emphasizing the need for more openness to imperfections in research papers.In this clip
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Generally Intelligent
Episode 13: Jonathan Frankle, MIT, on the lottery ticket hypothesis and the science of deep learning
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