prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the FairNAS model in the FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the EPE-NAS (N=500) model in the EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the EPE-NAS (N=10) model in the EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the EPE-NAS (N=1000) model in the EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the GDAS model in the Searching for A Robust Neural Architecture in Four GPU Hours paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the iDARTS model in the iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the EPE-NAS (N=100) model in the EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the NAS without training (N=10) model in the Neural Architecture Search without Training paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the NAS without training (N=100) model in the Neural Architecture Search without Training paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the RSPS model in the Random Search and Reproducibility for Neural Architecture Search paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the DARTS (first order) model in the DARTS: Differentiable Architecture Search paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the ENAS model in the Efficient Neural Architecture Search via Parameters Sharing paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the DARTS (second order) model in the DARTS: Differentiable Architecture Search paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the ASE-NAS+ model in the Automatic Subspace Evoking for Efficient Neural Architecture Search paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the CATCH-meta model in the CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the PNAS + model in the Progressive Neural Architecture Search paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the DSNAS model in the DSNAS: Direct Neural Architecture Search without Parameter Retraining paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the SETN model in the One-Shot Neural Architecture Search via Self-Evaluated Template Network paper on the NAS-Bench-201, ImageNet-16-120 dataset? | Accuracy (Test), Accuracy (Val), Search time (s) |
What metrics were used to measure the BossNAS model in the BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search paper on the NATS-Bench Size, CIFAR-100 dataset? | Kendall's Tau, Spearman's Rho, Pearson R, Acc. (test), Test Accuracy, Validation Accuracy |
What metrics were used to measure the LayerNAS model in the LayerNAS: Neural Architecture Search in Polynomial Complexity paper on the NATS-Bench Size, CIFAR-100 dataset? | Kendall's Tau, Spearman's Rho, Pearson R, Acc. (test), Test Accuracy, Validation Accuracy |
What metrics were used to measure the LayerNAS model in the LayerNAS: Neural Architecture Search in Polynomial Complexity paper on the NATS-Bench Size, ImageNet16-120 dataset? | Test Accuracy, Validation Accuracy |
What metrics were used to measure the Improved FireFly Algorithme model in the Improving Neural Architecture Search by Mixing a FireFly algorithm with a Training Free Evaluation paper on the NAS-Bench-201 dataset? | Accuracy (%) |
What metrics were used to measure the FireFly model in the Improving Neural Architecture Search by Mixing a FireFly algorithm with a Training Free Evaluation paper on the NAS-Bench-201 dataset? | Accuracy (%) |
What metrics were used to measure the NAT-M4 model in the Neural Architecture Transfer paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the NAT-M3 model in the Neural Architecture Transfer paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the NAONet + c/o model in the Neural Architecture Optimization paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the SharpSepConvDARTS model in the sharpDARTS: Faster and More Accurate Differentiable Architecture Search paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the MUXNet-m model in the MUXConv: Information Multiplexing in Convolutional Neural Networks paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the Proxyless-G + c/o model in the ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the NAT-M2 model in the Neural Architecture Transfer paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the AmoebaNet-B + c/o model in the Regularized Evolution for Image Classifier Architecture Search paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the PathLevel EAS + c/o model in the Path-Level Network Transformation for Efficient Architecture Search paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the NAS-RL-A + c/o model in the Neural Architecture Search with Reinforcement Learning paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the CATE model in the CATE: Computation-aware Neural Architecture Encoding with Transformers paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the Soft Parameter Sharing model in the Learning Implicitly Recurrent CNNs Through Parameter Sharing paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the arch2vec model in the Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the GATES + c/o model in the A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the NAT-M1 model in the Neural Architecture Transfer paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the DARTS + c/o model in the DARTS: Differentiable Architecture Search paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the ENAS + c/o model in the Efficient Neural Architecture Search via Parameter Sharing paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the EEEA-Net-C (b=5)+ CO model in the EEEA-Net: An Early Exit Evolutionary Neural Architecture Search paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the AlphaX-1 (cutout NASNet) model in the AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search paper on the CIFAR-10 Image Classification dataset? | Percentage error, Params, FLOPS, Search Time (GPU days) |
What metrics were used to measure the NAT-M4 model in the Neural Architecture Transfer paper on the Food-101 dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the NAT-M3 model in the Neural Architecture Transfer paper on the Food-101 dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the NAT-M2 model in the Neural Architecture Transfer paper on the Food-101 dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the NAT-M1 model in the Neural Architecture Transfer paper on the Food-101 dataset? | Accuracy (%), FLOPS, PARAMS |
What metrics were used to measure the DNA-c model in the Blockwisely Supervised Neural Architecture Search with Knowledge Distillation paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the NAT-M4 model in the Neural Architecture Transfer paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the NAT-M3 model in the Neural Architecture Transfer paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the NAT-M2 model in the Neural Architecture Transfer paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the MUXNet-m model in the MUXConv: Information Multiplexing in Convolutional Neural Networks paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the NAT-M1 model in the Neural Architecture Transfer paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the ZenNet-2.0M model in the Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the β-DARTS model in the $β$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the DU-DARTS model in the DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the DARTS-PRIME model in the DARTS-PRIME: Regularization and Scheduling Improve Constrained Optimization in Differentiable NAS paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the NASGEP model in the Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the μDARTS model in the $μ$DARTS: Model Uncertainty-Aware Differentiable Architecture Search paper on the CIFAR-100 dataset? | Percentage Error, FLOPS, PARAMS, Search Time (GPU days) |
What metrics were used to measure the Smooth GEMSEC 2 model in the GEMSEC: Graph Embedding with Self Clustering paper on the Facebook Companies dataset? | Modularity |
What metrics were used to measure the Smooth GEMSEC 2 model in the GEMSEC: Graph Embedding with Self Clustering paper on the Facebook Media dataset? | Modularity |
What metrics were used to measure the CommunityGAN model in the CommunityGAN: Community Detection with Generative Adversarial Nets paper on the Amazon dataset? | F1-score, Accuracy-NE, NMI |
What metrics were used to measure the Ego-Splitting model in the Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters paper on the Amazon dataset? | F1-score, Accuracy-NE, NMI |
What metrics were used to measure the GNN model in the Supervised Community Detection with Line Graph Neural Networks paper on the Amazon dataset? | F1-score, Accuracy-NE, NMI |
What metrics were used to measure the EdMot model in the EdMot: An Edge Enhancement Approach for Motif-aware Community Detection paper on the Cora dataset? | NMI |
What metrics were used to measure the Smooth GEMSEC 2 model in the GEMSEC: Graph Embedding with Self Clustering paper on the Facebook Athletes dataset? | Modularity |
What metrics were used to measure the Smooth GEMSEC 2 model in the GEMSEC: Graph Embedding with Self Clustering paper on the Facebook Artists dataset? | Modularity |
What metrics were used to measure the CommunityGAN model in the CommunityGAN: Community Detection with Generative Adversarial Nets paper on the DBLP dataset? | F1-Score |
What metrics were used to measure the Smooth GEMSEC 2 model in the GEMSEC: Graph Embedding with Self Clustering paper on the Facebook Government dataset? | Modularity |
What metrics were used to measure the Smooth GEMSEC 2 model in the GEMSEC: Graph Embedding with Self Clustering paper on the Facebook TV Show dataset? | Modularity |
What metrics were used to measure the Smooth GEMSEC 2 model in the GEMSEC: Graph Embedding with Self Clustering paper on the Facebook Politicians dataset? | Modularity |
What metrics were used to measure the Smooth GEMSEC 2 model in the GEMSEC: Graph Embedding with Self Clustering paper on the Facebook Celebrities dataset? | Modularity |
What metrics were used to measure the RLIPv2 model in the RLIPv2: Fast Scaling of Relational Language-Image Pre-training paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the MUREN model in the Relational Context Learning for Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the STIP model in the Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the DiffHOI model in the Boosting Human-Object Interaction Detection with Text-to-Image Diffusion Model paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the OCN (ResNet101) model in the Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the OCN (ResNet50) model in the Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the CDN (ResNet101) model in the Mining the Benefits of Two-stage and One-stage HOI Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the Body Part Interactiveness model in the Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the UPT-R101-DC5 model in the Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the UPT-R101 model in the Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the UPT-R50 model in the Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the QPIC (ResNet50) model in the QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the QPIC (ResNet101) model in the QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the DIRV model in the DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the HOTR model in the HOTR: End-to-End Human-Object Interaction Detection with Transformers paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the GGNet model in the Glance and Gaze: Inferring Action-aware Points for One-Stage Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the SCG model in the Spatially Conditioned Graphs for Detecting Human-Object Interactions paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the PD-Net model in the Polysemy Deciphering Network for Robust Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the IDN model in the HOI Analysis: Integrating and Decomposing Human-Object Interaction paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the ACP model in the Detecting Human-Object Interactions with Action Co-occurrence Priors paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the SGCN4HOI model in the A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the PMN model in the Pose-based Modular Network for Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the VSGNet model in the VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the PPDM model in the PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the PaStaNet model in the PaStaNet: Toward Human Activity Knowledge Engine paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the DRG model in the DRG: Dual Relation Graph for Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the TIN (TIPAMI) model in the Transferable Interactiveness Knowledge for Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the TIN (Interactiveness) model in the Transferable Interactiveness Knowledge for Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
What metrics were used to measure the TIN (CVPR) model in the Transferable Interactiveness Knowledge for Human-Object Interaction Detection paper on the V-COCO dataset? | AP(S1), AP(S2), Time Per Frame(ms), MAP |
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