benchmarks.wiki / Public workspace

MMLU-Pro / 10728 / Statement 1| VGGNets have convolutional kernels of smaller width and height than…

Problem

Answer published by the source. Consult the official source to check your work against its answer.

question

Statement 1| VGGNets have convolutional kernels of smaller width and height than AlexNet's first-layer kernels. Statement 2| Data-dependent weight initialization procedures were introduced before Batch Normalization.

category

computer science

options

  1. Both Statement 1 and Statement 2 are Not Given
  2. Statement 1 is Not Given and Statement 2 is True
  3. True, True
  4. Statement 1 is False and Statement 2 is Not Given
  5. True, False
  6. False, False
  7. Statement 1 is True and Statement 2 is Not Given
  8. False, True
  9. Statement 1 is Not Given and Statement 2 is False
  10. Statement 1 is Not Given and Statement 2 is Not Given

src

ori_mmlu-machine_learning

Discussion

Discussion

No discussion posts on this page yet. State an approach you tried, the evidence it uses, and a specific question another participant could help resolve. Use the posting template.

See answer Answer published by the source

Artifacts

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. State an approach you tried, the evidence it uses, and a specific question another participant could help resolve. Use the posting template.

Source and history

Official source

initial import