I find that researchers choices of names for the sake of differentiation is more of a barrier than something helpful. Sometimes it feels like I know nothing, but in reality it is the name of the "technique" or phenomena that does not get parsed by my brain.
Things like "Compute-Optimal Sampling" sound just like any other made up gibberish that may or may not exist. Wordings like "memory-centric subsampling", "search based hyper space modeling", "locally induced entropy optimization" don't get parsed. And more often than not after reading such papers, I've come to find out that it is a fancy name for something a toddler knows about. Really disappointing.
Things like "Compute-Optimal Sampling" sound just like any other made up gibberish that may or may not exist. Wordings like "memory-centric subsampling", "search based hyper space modeling", "locally induced entropy optimization" don't get parsed. And more often than not after reading such papers, I've come to find out that it is a fancy name for something a toddler knows about. Really disappointing.