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Inverse Scaling: When Bigger Isn't Better.

Ian R. McKenzieAlexander LyzhovMichael PielerAlicia ParrishAaron MuellerAmeya PrabhuEuan McLeanAaron KirtlandAlexis RossAlisa LiuAndrew GritsevskiyDaniel WurgaftDerik KauffmanGabriel RecchiaJiacheng LiuJoe CavanaghMax WeissSicong HuangThe Floating DroidTom TsengTomasz KorbakXudong ShenYuhui ZhangZhengping ZhouNajoung KimSamuel R. BowmanEthan Perez
Published in: CoRR (2023)
Keyphrases
  • orthogonal matrices
  • objective function
  • database
  • machine learning
  • high quality
  • reinforcement learning
  • artificial intelligence
  • feature selection
  • website
  • scaling factors
  • correlation matrix