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Found 2 papers, 1 papers with code
LookupFFN: Making Transformers Compute-lite for CPU inference
While GPU clusters are the de facto choice for training large deep neural network (DNN) models today, several reasons including ease of workflow, security and cost have led to efforts investigating whether CPUs may be viable for inference in routine use in many sectors of the industry.
Deep Action Sequence Learning for Causal Shape Transformation
Deep learning became the method of choice in recent year for solving a wide variety of predictive analytics tasks.
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