prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the NAT-M4 model in the Neural Architecture Transfer paper on the Oxford-IIIT Pet Dataset dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the NAT-M3 model in the Neural Architecture Transfer paper on the Oxford-IIIT Pet Dataset dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the NAT-M2 model in the Neural Architecture Transfer paper on the Oxford-IIIT Pet Dataset dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the NAT-M1 model in the Neural Architecture Transfer paper on the Oxford-IIIT Pet Dataset dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the NAT-M4 model in the Neural Architecture Transfer paper on the Stanford Cars dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the NAT-M3 model in the Neural Architecture Transfer paper on the Stanford Cars dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the NAT-M2 model in the Neural Architecture Transfer paper on the Stanford Cars dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the NAT-M1 model in the Neural Architecture Transfer paper on the Stanford Cars dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the DeepMAD-50M model in the DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the ZenNAS (1.2ms) model in the Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the GPUNet-D3 model in the GPUNet: Searching the Deployable Convolution Neural Networks for GPUs paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the GPUNet-D1 model in the GPUNet: Searching the Deployable Convolution Neural Networks for GPUs paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the FBNetV3-G model in the FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the BossNet-T1+ model in the BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NASViT-A5 model in the NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the FBNetV5 model in the FBNetV5: Neural Architecture Search for Multiple Tasks in One Run paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the FBNetV5-A-CLS model in the FBNetV5: Neural Architecture Search for Multiple Tasks in One Run paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NASViT-A4 model in the NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NASViT-A3 model in the NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AlphaNet-A6 model in the AlphaNet: Improved Training of Supernets with Alpha-Divergence paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the UniNet-B0 model in the UniNet: Unified Architecture Search with Convolution, Transformer, and MLP paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AlphaNet-A5 (base) model in the AlphaNet: Improved Training of Supernets with Alpha-Divergence paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NAT-M4 model in the Neural Architecture Transfer paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NASViT-A2 model in the NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NSGANetV2-xl model in the NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the FBNetV3-E model in the FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AlphaNet-A5 (small) model in the AlphaNet: Improved Training of Supernets with Alpha-Divergence paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the ISyNet-N3 model in the ISyNet: Convolutional Neural Networks design for AI accelerator paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the HardcoreNAS_E_KD model in the HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AttentiveNAS-A5 model in the AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AlphaNet-A4 model in the AlphaNet: Improved Training of Supernets with Alpha-Divergence paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NAT-M3 model in the Neural Architecture Transfer paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AttentiveNAS-A4 model in the AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the SEDONA (ResNet-152 Aux. Ens., K=4) model in the SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NASViT-A1 model in the NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the GPUNet-D0 model in the GPUNet: Searching the Deployable Convolution Neural Networks for GPUs paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the FBNetV3-C model in the FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the BigNASModel-L model in the BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the HardcoreNAS_D_KD model in the HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the ISyNet-N2 model in the ISyNet: Convolutional Neural Networks design for AI accelerator paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AlphaNet-A3 model in the AlphaNet: Improved Training of Supernets with Alpha-Divergence paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AlphaNet-A2 model in the AlphaNet: Improved Training of Supernets with Alpha-Divergence paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NSGANetV2-l model in the NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AttentiveNAS-A3 model in the AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AlphaNet-A1 model in the AlphaNet: Improved Training of Supernets with Alpha-Divergence paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the SEDONA (ResNet-152, K=4) model in the SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the BigNASModel-M model in the BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the HardcoreNAS_C_KD model in the HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the HardcoreNAS_B_KD model in the HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AttentiveNAS-A2 model in the AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the μDARTS model in the $μ$DARTS: Model Uncertainty-Aware Differentiable Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NAT-M2 model in the Neural Architecture Transfer paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the LayerNAS-600M model in the LayerNAS: Neural Architecture Search in Polynomial Complexity paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the ISyNet-N1-S3 model in the ISyNet: Convolutional Neural Networks design for AI accelerator paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the DNA-d model in the Blockwisely Supervised Neural Architecture Search with Knowledge Distillation paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AttentiveNAS-A1 model in the AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NSGANetV2-m model in the NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the HardcoreNAS_A_KD model in the HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NASViT-A0 model in the NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the HardcoreNAS_F model in the HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the FBNetV3-A model in the FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NoisyDARTS-A model in the Noisy Differentiable Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AlphaNet-A0 model in the AlphaNet: Improved Training of Supernets with Alpha-Divergence paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the HardcoreNAS_E model in the HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the ISyNet-N1-S2 model in the ISyNet: Convolutional Neural Networks design for AI accelerator paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the DNA-c model in the Blockwisely Supervised Neural Architecture Search with Knowledge Distillation paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the ZenNAS (0.1ms) model in the Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AutoNL-L model in the Neural Architecture Search for Lightweight Non-Local Networks paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AtomNAS-C+† model in the AtomNAS: Fine-Grained End-to-End Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NAT-M1 model in the Neural Architecture Transfer paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the DNA-b model in the Blockwisely Supervised Neural Architecture Search with Knowledge Distillation paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the NSGANetV2-s model in the NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the HardcoreNAS_D model in the HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AttentiveNAS-A0 model in the AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the ISyNet-N1-S1 model in the ISyNet: Convolutional Neural Networks design for AI accelerator paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AtomNAS-B+† model in the AtomNAS: Fine-Grained End-to-End Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the FBNetV5-AR-CLS model in the FBNetV5: Neural Architecture Search for Multiple Tasks in One Run paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the FBNetV2-L1 model in the FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the FairDARTS-C model in the Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the GreedyNAS-A model in the GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the DNA-a model in the Blockwisely Supervised Neural Architecture Search with Knowledge Distillation paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the HardcoreNAS_C model in the HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the LayerNAS-300M model in the LayerNAS: Neural Architecture Search in Polynomial Complexity paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the SCARLET-A model in the SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the OFA w/ PS #75 model in the Once-for-All: Train One Network and Specialize it for Efficient Deployment paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the ISyNet-N1 model in the ISyNet: Convolutional Neural Networks design for AI accelerator paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the GreedyNAS-B model in the GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the MUXNet-l model in the MUXConv: Information Multiplexing in Convolutional Neural Networks paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the GBDT-NAS-3S model in the Accuracy Prediction with Non-neural Model for Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the BigNASModel-S model in the BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the SemiNAS model in the Semi-Supervised Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AutoNL-S model in the Neural Architecture Search for Lightweight Non-Local Networks paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the HardcoreNAS_B model in the HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the SCARLET-B model in the SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the AtomNAS-A+† model in the AtomNAS: Fine-Grained End-to-End Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the DrNAS model in the DrNAS: Dirichlet Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the GreedyNAS-C model in the GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the EEEA-Net-C2 (b=7) (our) model in the EEEA-Net: An Early Exit Evolutionary Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the MSR-DARTS (CIFAR-10) model in the MSR-DARTS: Minimum Stable Rank of Differentiable Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
What metrics were used to measure the Shapley-NAS model in the Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search paper on the ImageNet dataset? | Top-1 Error Rate, Accuracy, Params, MACs, FLOPs |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.