atlas

Research map / Label-efficient and robust learning / Self-supervised and contrastive

Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game

NeurIPS 2019 · Label-efficient and robust learning › Self-supervised and contrastive · approach: Self-supervision in supervised pipelines · 40 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace original SS tasks with multi-class minimax SS tasksDist-GAN, SN-GAN architecture · CIFAR-10FID: 21.40 -> 18.88Helped
Replace original SS tasks with multi-class minimax SS tasksDist-GAN, SN-GAN architecture · STL-10FID: 29.79 -> 27.95Helped
Replace original SS tasks with multi-class minimax SS tasksDist-GAN, ResNet · CIFAR-10FID: 14.97 ± .29 -> 13.90 ± .22Helped
Replace original SS tasks with multi-class minimax SS tasksDist-GAN, ResNet · STL-10FID: 27.98 ± .38 -> 27.10 ± .34Helped
Replace original SS tasks with multi-class minimax SS tasksDist-GAN, ResNet · CIFAR-10, 10K-10K FIDFID: 12.37 -> 11.40Helped
Replace original SS tasks with multi-class minimax SS tasksDist-GAN · CIFAR-100FID: 21.02 -> 19.74Helped
Replace original SS tasks with multi-class minimax SS tasksDist-GAN · ImageNet 32×32FID: 17.1 -> 12.3Helped
Replace original SS tasks with multi-class minimax SS tasksDist-GAN · Stacked-MNIST, K/4covered modes: 906.75 ± 26.15 -> 926.75 ± 32.65Helped
Replace original SS tasks with multi-class minimax SS tasksDist-GAN · Stacked-MNIST, K/4KL divergence: 0.90 ± 0.13 -> 0.78 ± 0.13Helped
Replace original SS tasks with multi-class minimax SS tasksDist-GAN · Stacked-MNIST, K/2covered modes: 957.50 ± 31.23 -> 976.00 ± 10.04Helped
Replace original SS tasks with multi-class minimax SS tasksDist-GAN · Stacked-MNIST, K/2KL divergence: 0.61 ± 0.15 -> 0.52 ± 0.07Helped
Replace original SS tasks with multi-class minimax SS tasksSSGAN+ · CelebA 64×64FID: 35.03 -> 33.47Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy