by 100% White Milk December 24, 2019
Get the diversingmug. a shitty music group that said it was going to be their year for 6 years before disbanding because it was never going to be their year.
by REALBIGDICKDANTE July 20, 2022
Get the DiVersemug. "Diverse it up" is a loose and friendly term meaning to try different things for the sake of change, or even inclusion. Try green salsa! Polka dots, not stripes. Hire the other kid, not your nephew. Vote for someone who does not look like you.
In a surreptitiously recorded conversation in the Abbey Road studio, producer George Martin told the boys they needed to diverse it up, and add some horns to the song, "All You Need Is Love".
by ElCommissioner May 30, 2019
Get the diverse it upmug. by leeds scum August 28, 2007
Get the liquid diversionmug. The few people a high school theater director will cast to make it seem like they don't only cast the same group of people.
I.e. A diversity hire but for highschool theater
I.e. A diversity hire but for highschool theater
Person 1: Dude I can't believe Mr. Brown only casts the same people outside of ensemble
Person 2: Yeah, ensemble are all his diversity casts
Person 2: Yeah, ensemble are all his diversity casts
by Herr Magie January 10, 2024
Get the Diversity Castmug. A team of diverse people, such as race or gender, that are put in a competitive situation and are determined to be victorious
Student 1: Dude that team is gonna crush us.
Student 2: What did you expect, they’re name is Diverse Thunder
Student 2: What did you expect, they’re name is Diverse Thunder
by I_am_the_senete March 19, 2019
Get the Diverse Thundermug. A knowledge distillation approach that uses extreme loss function weighting to force neural networks to preserve semantic differences between distinct concepts while preventing mode collapse. The technique employs "nuclear" (extreme) lambda parameters that heavily weight diversity preservation over teacher alignment, ensuring that different input concepts produce genuinely different vector representations.
Key characteristics:
Uses extreme weighting ratios (e.g., λ_diversity = 2.0-6.0 vs λ_alignment = 0.02-0.1)
Prevents mode collapse where different inputs produce nearly identical outputs
Maintains semantic separation in compressed vector spaces
Applied in the LN (Learning Networks) Semantic Encoder architecture
Measures success by reducing cosine similarity between different concepts from ~0.99 to ~0.3-0.7
The term "nuclear" emphasizes the aggressive, sometimes extreme measures needed to solve fundamental problems in neural network training where subtle parameter adjustments fail to achieve the desired diversity preservation.
Key characteristics:
Uses extreme weighting ratios (e.g., λ_diversity = 2.0-6.0 vs λ_alignment = 0.02-0.1)
Prevents mode collapse where different inputs produce nearly identical outputs
Maintains semantic separation in compressed vector spaces
Applied in the LN (Learning Networks) Semantic Encoder architecture
Measures success by reducing cosine similarity between different concepts from ~0.99 to ~0.3-0.7
The term "nuclear" emphasizes the aggressive, sometimes extreme measures needed to solve fundamental problems in neural network training where subtle parameter adjustments fail to achieve the desired diversity preservation.
The researchers implemented nuclear diversity in their knowledge distillation pipeline, using extreme lambda weighting of 6.0 for diversity preservation versus 0.02 for teacher alignment, successfully reducing semantic collapse from 0.998 to 0.324 cosine similarity between distinct concepts.
by Trentism July 9, 2025
Get the Nuclear Diversitymug.