| architecture-search-on-cifar-10-image | MUXNet-m | #5 | Percentage error: 2.0Params: 2.1MFLOPS: 200M |
| image-classification-on-cifar-10 | MUXNet-m | #58 | Percentage correct: 98.0Top-1 Accuracy: 98.0 |
| image-classification-on-cifar-100 | MUXNet-m | #56 | Percentage correct: 86.1PARAMS: 2.1M |
| image-classification-on-imagenet | MUXNet-l | #852 | Top 1 Accuracy: 76.6%Number of params: 4.0MGFLOPs: 0.636 |
| image-classification-on-imagenet | MUXNet-m | #892 | Top 1 Accuracy: 75.3%Number of params: 3.4MGFLOPs: 0.436 |
| image-classification-on-imagenet | MUXNet-s | #943 | Top 1 Accuracy: 71.6%Number of params: 2.4MGFLOPs: 0.234 |
| image-classification-on-imagenet | MUXNet-xs | #973 | Top 1 Accuracy: 66.7%Number of params: 1.8MGFLOPs: 0.132 |
| neural-architecture-search-on-cifar-10 | MUXNet-m | #6 | Top-1 Error Rate: 2.0%Parameters: 2.1MFLOPS: 200M |
| neural-architecture-search-on-cifar-100-1 | MUXNet-m | #5 | Percentage Error: 13.9FLOPS: 200MPARAMS: 2.1M |
| neural-architecture-search-on-imagenet | MUXNet-l | #72 | Top-1 Error Rate: 23.4Accuracy: 76.6Params: 4.0MMACs: 318M |
| neural-architecture-search-on-imagenet | MUXNet-m | #99 | Top-1 Error Rate: 24.7Accuracy: 75.3Params: 3.4MMACs: 218M |
| neural-architecture-search-on-imagenet | MUXNet-s | #112 | Top-1 Error Rate: 28.4Accuracy: 71.6Params: 2.4MMACs: 117M |
| neural-architecture-search-on-imagenet | MUXNet-xs | #115 | Top-1 Error Rate: 33.3Accuracy: 66.7Params: 1.8MMACs: 66M |
| semantic-segmentation-on-ade20k | MUXNet-m + PPM | #216 | Validation mIoU: 35.8 |
| semantic-segmentation-on-ade20k | MUXNet-m + C1 | #218 | Validation mIoU: 32.42 |