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Image Classification on CIFAR-100 (BP vs MF Performance and Memory)

52.68BP Top-1 AccuracyBackpropagation
51.213651.594351.97552.3557Jan 16, 2025

Evaluation results

MethodLinks
BackpropagationArch=D12-W2562025.0152.68——79.71——1.42——
BackpropagationArch=D5-W5122025.0152.31——80.64——1.683——
BackpropagationArch=D5-W2562025.0152.19——80.08——0.629——
BackpropagationArch=D12-W5122025.0152.13——80.41——3.905——
BackpropagationArch=D8-W5122025.0151.82——80.25——2.635——
BackpropagationArch=D8-W2562025.0151.27——79.57——0.968——
Mono-ForwardArch=D5-W2562025.01—46.14-6.05—74.13-5.95—0.240.38
Mono-ForwardArch=D5-W5122025.01—46.75-5.56—76.4-4.24—0.60.36
Mono-ForwardArch=D8-W2562025.01—46.62-4.65—73.43-6.14—0.2660.27
Mono-ForwardArch=D8-W5122025.01—46.28-5.54—74.54-5.71—0.6990.27
Mono-ForwardArch=D12-W2562025.01—46.49-6.19—72.38-7.33—0.3010.21
Mono-ForwardArch=D12-W5122025.01—46.12-6.01—74.15-6.26—0.8320.21