ApGAN: Approximate GAN for Robust Low Energy Learning from Imprecise Components

Mathematics

• Accelerator 100%
• Learning 65%
• Energy Efficiency 49%
• Energy 48%
• Baseline 31%
• Speedup 30%
• Resources 27%
• Hardware Implementation 21%
• Network Algorithms 21%
• High Energy 17%
• Hardware 17%
• Percent 17%
• High Efficiency 17%
• Training 15%
• Fold 13%
• Limiting 11%
• Entropy 11%
• Binary 10%
• Generator 10%
• Design 8%
• Performance 8%
• Model 4%

Engineering & Materials Science

• Particle accelerators 73%
• Energy efficiency 22%
• Memristors 18%
• Discriminators 17%
• Data storage equipment 17%
• Computer hardware 16%
• Application specific integrated circuits 15%
• Graphics processing unit 13%
• Deep learning 12%
• Entropy 12%
• Feature extraction 11%