prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the IC-GAN + DA model in the Instance-Conditioned GAN paper on the ImageNet 64x64 dataset? | FID, Inception score |
What metrics were used to measure the SAGAN + instance selection model in the Instance Selection for GANs paper on the ImageNet 64x64 dataset? | FID, Inception score |
What metrics were used to measure the FQ-GAN model in the Feature Quantization Improves GAN Training paper on the ImageNet 64x64 dataset? | FID, Inception score |
What metrics were used to measure the BigGAN* [Brock et al.] +DA model in the Instance-Conditioned GAN paper on the ImageNet 64x64 dataset? | FID, Inception score |
What metrics were used to measure the EDM-G++ (conditional) model in the Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the StyleGAN2 + DiffAugment + D2D-CE model in the Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the StyleGAN2-ADA model in the Training Generative Adversarial Networks with Limited Data paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the MIX-MHingeGAN model in the Lessons Learned from the Training of GANs on Artificial Datasets paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the FQ-GAN model in the Feature Quantization Improves GAN Training paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the ADC-GAN model in the Conditional GANs with Auxiliary Discriminative Classifier paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the aw-BigGAN model in the Adaptive Weighted Discriminator for Training Generative Adversarial Networks paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the MHingeGAN model in the cGANs with Multi-Hinge Loss paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the aw-SN-GAN model in the Adaptive Weighted Discriminator for Training Generative Adversarial Networks paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the NDA model in the Negative Data Augmentation paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the ContraGAN model in the ContraGAN: Contrastive Learning for Conditional Image Generation paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the CR-BigGAN model in the Consistency Regularization for Generative Adversarial Networks paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the BigGAN model in the Large Scale GAN Training for High Fidelity Natural Image Synthesis paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the Projection Discriminator model in the cGANs with Projection Discriminator paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the ProdPoly no activation functions model in the Deep Polynomial Neural Networks paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the Splitting GAN model in the Class-Splitting Generative Adversarial Networks paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the WGAN-GP model in the Improved Training of Wasserstein GANs paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the SGAN model in the Stacked Generative Adversarial Networks paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the AC-GAN model in the Conditional Image Synthesis With Auxiliary Classifier GANs paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the Improved GAN model in the Improved Techniques for Training GANs paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the LR-GAN model in the LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the EGAN-Ent-VI model in the Calibrating Energy-based Generative Adversarial Networks paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the DCGAN model in the Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the SteinGAN model in the Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning paper on the CIFAR-10 dataset? | FID, Inception score, Intra-FID |
What metrics were used to measure the ADC-GAN model in the Conditional GANs with Auxiliary Discriminative Classifier paper on the Tiny ImageNet dataset? | FID, Intra-FID |
What metrics were used to measure the CodeBERT model in the CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation paper on the CodeXGLUE - Bugs2Fix dataset? | Accuracy (medium), Accuracy (small), BLEU (medium), BLEU (small), CodeBLEU (medium), CodeBLEU (small) |
What metrics were used to measure the UNINEXT model in the Universal Instance Perception as Object Discovery and Retrieval paper on the gRefCOCO dataset? | Precision@(F1=1, IoU≥0.5), N-acc. |
What metrics were used to measure the MDETR model in the MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding paper on the gRefCOCO dataset? | Precision@(F1=1, IoU≥0.5), N-acc. |
What metrics were used to measure the VLT model in the Vision-Language Transformer and Query Generation for Referring Segmentation paper on the gRefCOCO dataset? | Precision@(F1=1, IoU≥0.5), N-acc. |
What metrics were used to measure the MCN model in the Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation paper on the gRefCOCO dataset? | Precision@(F1=1, IoU≥0.5), N-acc. |
What metrics were used to measure the ContourNet [69] model in the UTRNet: High-Resolution Urdu Text Recognition In Printed Documents paper on the UrduDoc dataset? | Precision, Recall |
What metrics were used to measure the DRRG [72] model in the UTRNet: High-Resolution Urdu Text Recognition In Printed Documents paper on the UrduDoc dataset? | Precision, Recall |
What metrics were used to measure the PSENet [67] model in the UTRNet: High-Resolution Urdu Text Recognition In Printed Documents paper on the UrduDoc dataset? | Precision, Recall |
What metrics were used to measure the EAST [75] model in the UTRNet: High-Resolution Urdu Text Recognition In Printed Documents paper on the UrduDoc dataset? | Precision, Recall |
What metrics were used to measure the EAST model in the UTRNet: High-Resolution Urdu Text Recognition In Printed Documents paper on the UrduDoc dataset? | Precision, Recall |
What metrics were used to measure the CCH model in the Text-guided 3D Human Generation from 2D Collections paper on the SHHQ dataset? | CLIP Score, Depth Error, Fashion Accuracy, Frechet Inception Distance, Percentage of Correct Keypoints |
What metrics were used to measure the CCH model in the Text-guided 3D Human Generation from 2D Collections paper on the DeepFashion dataset? | CLIP Score, Depth Error, Fashion Accuracy, Frechet Inception Distance, Percentage of Correct Keypoints |
What metrics were used to measure the GLEM+GIANT+GAMLP model in the Learning on Large-scale Text-attributed Graphs via Variational Inference paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+GAMLP+RLU (use raw text) model in the Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAMLP+RLU+SCR model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SAGN+SLE (4 stages) model in the Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAMLP+RLU model in the paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAMLP+SCR-m model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAMLP+SCR model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the FSGNN model in the Improving Graph Neural Networks with Simple Architecture Design paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SAGN+SLE model in the Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAMLP model in the paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the TransformerConv model in the Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the shaDow-GAT model in the Decoupling the Depth and Scope of Graph Neural Networks paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphSAGE_res_incep model in the Inductive Representation Learning on Large Graphs paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SAGN model in the Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SIGN-XL model in the SIGN: Scalable Inception Graph Neural Networks paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the PCAPass + LightGBM model in the Dimensionality Reduction Meets Message Passing for Graph Node Embeddings paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SIGN model in the SIGN: Scalable Inception Graph Neural Networks paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SGC model in the Simplifying Graph Convolutional Networks paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Node2vec model in the node2vec: Scalable Feature Learning for Networks paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the MLP model in the Open Graph Benchmark: Datasets for Machine Learning on Graphs paper on the ogbn-papers100M dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the RpHGNN+LP+CR (LINE embs) model in the Efficient Heterogeneous Graph Learning via Random Projection paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the LMSPS(w/o ComplEx embs) model in the Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the PSHGCN (ComplEx embs) model in the Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the PSHGCN model in the Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the LDMLP(w/o ComplEx embs) model in the Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SeHGNN (ComplEx embs) model in the Simple and Efficient Heterogeneous Graph Neural Network paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SeHGNN model in the Simple and Efficient Heterogeneous Graph Neural Network paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the NARS-GAMLP+RLU+SCR model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the NARS-GAMLP+RLU model in the Graph Attention Multi-Layer Perceptron paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the NARS-GAMLP+RLU model in the paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the NARS-GAMLP+SCR-m model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the NARS_SAGN+SLE model in the Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the NARS-GAMLP+SCR model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the NARS-GAMLP model in the Graph Attention Multi-Layer Perceptron paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the NARS-GAMLP model in the paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the LEGNN + AS-Train model in the Label-Enhanced Graph Neural Network for Semi-supervised Node Classification paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the LEGNN model in the Label-Enhanced Graph Neural Network for Semi-supervised Node Classification paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the NARS model in the Scalable Graph Neural Networks for Heterogeneous Graphs paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the R-HGNN model in the Heterogeneous Graph Representation Learning with Relation Awareness paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the R-GSN + metapath2vec model in the Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the HGConv model in the Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the R-GSN model in the Modeling Relational Data with Graph Convolutional Networks paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the HGT (TransE embs) model in the Heterogeneous Graph Transformer paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphSAINT + metapath2vec model in the GraphSAINT: Graph Sampling Based Inductive Learning Method paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the HGT (LADIES Sample) model in the Heterogeneous Graph Transformer paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphSAINT (R-GCN aggr) model in the GraphSAINT: Graph Sampling Based Inductive Learning Method paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the R-GCN+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the NeighborSampling (R-GCN aggr) model in the Inductive Representation Learning on Large Graphs paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SIGN model in the SIGN: Scalable Inception Graph Neural Networks paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Full-batch R-GCN model in the Modeling Relational Data with Graph Convolutional Networks paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the ClusterGCN (R-GCN aggr) model in the Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the MetaPath2vec model in the metapath2vec: Scalable Representation Learning for Heterogeneous Networks paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the MetaPath2vec model in the paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the CoLinkDistMLP model in the Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the MLP model in the Open Graph Benchmark: Datasets for Machine Learning on Graphs paper on the ogbn-mag dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the LD+GAT model in the Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the GIPA(Wide&Deep) model in the GIPA: A General Information Propagation Algorithm for Graph Learning paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the AGDN model in the Adaptive Graph Diffusion Networks paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the RevGNN-Wide model in the Training Graph Neural Networks with 1000 Layers paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
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