prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SciBERT model in the SciBERT: A Pretrained Language Model for Scientific Text paper on the SciCite dataset? | F1 |
What metrics were used to measure the Structural-scaffolds model in the Structural Scaffolds for Citation Intent Classification in Scientific Publications paper on the SciCite dataset? | F1 |
What metrics were used to measure the BiLSTM-Attention + ELMo model in the paper on the SciCite dataset? | F1 |
What metrics were used to measure the Feature-Rich Random Forest model in the Measuring the Evolution of a Scientific Field through Citation Frames paper on the SciCite dataset? | F1 |
What metrics were used to measure the BiLSTM-Attention model in the paper on the SciCite dataset? | F1 |
What metrics were used to measure the FE-MLM + Span model in the Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model paper on the ACL-ARC dataset? | F1 |
What metrics were used to measure the SciBERT model in the SciBERT: A Pretrained Language Model for Scientific Text paper on the ACL-ARC dataset? | F1 |
What metrics were used to measure the Structural-scaffolds model in the Structural Scaffolds for Citation Intent Classification in Scientific Publications paper on the ACL-ARC dataset? | F1 |
What metrics were used to measure the Random Forest model in the Measuring the Evolution of a Scientific Field through Citation Frames paper on the ACL-ARC dataset? | F1 |
What metrics were used to measure the SciBERT (SciVocab) model in the SciBERT: A Pretrained Language Model for Scientific Text paper on the ScienceCite dataset? | F1 |
What metrics were used to measure the SciBERT (Base Vocab) model in the SciBERT: A Pretrained Language Model for Scientific Text paper on the ScienceCite dataset? | F1 |
What metrics were used to measure the RoBERTa-large model in the CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark paper on the CHIP-CTC dataset? | Macro F1 |
What metrics were used to measure the Dilated FCN-2s RGB model in the Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU |
What metrics were used to measure the 3DMV model in the 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation paper on the ScanNet dataset? | Average Accuracy, 3DIoU |
What metrics were used to measure the PointNet++ model in the PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation paper on the ScanNet dataset? | Average Accuracy, 3DIoU |
What metrics were used to measure the KPConv model in the KPConv: Flexible and Deformable Convolution for Point Clouds paper on the ScanNet dataset? | Average Accuracy, 3DIoU |
What metrics were used to measure the Mask2Anomaly model in the Unmasking Anomalies in Road-Scene Segmentation paper on the StreetHazards dataset? | Open-mIoU |
What metrics were used to measure the LDN121-RPL model in the Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation paper on the StreetHazards dataset? | Open-mIoU |
What metrics were used to measure the LDN121-DenseHybrid model in the DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition paper on the StreetHazards dataset? | Open-mIoU |
What metrics were used to measure the UNetFormer model in the UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery paper on the UAVid dataset? | Category mIoU |
What metrics were used to measure the ICM model in the Scene Parsing via Integrated Classification Model and Variance-Based Regularization paper on the SUN-RGBD dataset? | Mean IoU |
What metrics were used to measure the Index Network model in the Index Network paper on the SUN-RGBD dataset? | Mean IoU |
What metrics were used to measure the DeepLab-LargeFOV model in the Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs paper on the SUN-RGBD dataset? | Mean IoU |
What metrics were used to measure the SegNet model in the SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation paper on the SUN-RGBD dataset? | Mean IoU |
What metrics were used to measure the FCN model in the Fully Convolutional Networks for Semantic Segmentation paper on the SUN-RGBD dataset? | Mean IoU |
What metrics were used to measure the DSSCC model in the Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering paper on the SNIPS dataset? | ACC, ARI, NMI |
What metrics were used to measure the CDAC+ model in the Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement paper on the SNIPS dataset? | ACC, ARI, NMI |
What metrics were used to measure the DSSCC model in the Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering paper on the BANKING77 dataset? | ACC, ARI, NMI |
What metrics were used to measure the DeepAligned model in the Discovering New Intents with Deep Aligned Clustering paper on the BANKING77 dataset? | ACC, ARI, NMI |
What metrics were used to measure the CDAC+ model in the Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement paper on the ATIS dataset? | ACC, ARI, NMI |
What metrics were used to measure the DSSCC model in the Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering paper on the Stackoverflow dataset? | ACC, ARI, NMI |
What metrics were used to measure the CDAC+ model in the Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement paper on the Stackoverflow dataset? | ACC, ARI, NMI |
What metrics were used to measure the DSSCC model in the Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering paper on the DBpedia dataset? | Clustering Accuracy |
What metrics were used to measure the DSSCC model in the Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering paper on the CLINC150 dataset? | ACC, ARI, NMI |
What metrics were used to measure the DeepAligned model in the Discovering New Intents with Deep Aligned Clustering paper on the CLINC150 dataset? | ACC, ARI, NMI |
What metrics were used to measure the DELG global+SP model in the Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval paper on the Google Landmarks Dataset v2 (recognition, validation) dataset? | microAP |
What metrics were used to measure the DELG global+SP model in the Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval paper on the Google Landmarks Dataset v2 (recognition, testing) dataset? | microAP |
What metrics were used to measure the Li and Harada (θc=0.05) model in the Lepard: Learning partial point cloud matching in rigid and deformable scenes paper on the 4DMatch dataset? | NFMR, IR |
What metrics were used to measure the Li and Harada (θc=0.1) model in the Lepard: Learning partial point cloud matching in rigid and deformable scenes paper on the 4DMatch dataset? | NFMR, IR |
What metrics were used to measure the Li and Harada (θc=0.2) model in the Lepard: Learning partial point cloud matching in rigid and deformable scenes paper on the 4DMatch dataset? | NFMR, IR |
What metrics were used to measure the Predator (5000) model in the Lepard: Learning partial point cloud matching in rigid and deformable scenes paper on the 4DMatch dataset? | NFMR, IR |
What metrics were used to measure the Predator (3000) model in the Lepard: Learning partial point cloud matching in rigid and deformable scenes paper on the 4DMatch dataset? | NFMR, IR |
What metrics were used to measure the D3Feat (5000) model in the Lepard: Learning partial point cloud matching in rigid and deformable scenes paper on the 4DMatch dataset? | NFMR, IR |
What metrics were used to measure the D3Feat (3000) model in the Lepard: Learning partial point cloud matching in rigid and deformable scenes paper on the 4DMatch dataset? | NFMR, IR |
What metrics were used to measure the Predator (1000) model in the Lepard: Learning partial point cloud matching in rigid and deformable scenes paper on the 4DMatch dataset? | NFMR, IR |
What metrics were used to measure the D3Feat (1000) model in the Lepard: Learning partial point cloud matching in rigid and deformable scenes paper on the 4DMatch dataset? | NFMR, IR |
What metrics were used to measure the PromptMR model in the Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction paper on the fastMRI Knee Val 8x dataset? | SSIM, PSNR, NMSE, Params (M) |
What metrics were used to measure the HUMUS-Net-L model in the HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction paper on the fastMRI Knee Val 8x dataset? | SSIM, PSNR, NMSE, Params (M) |
What metrics were used to measure the HUMUS-Net model in the HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction paper on the fastMRI Knee Val 8x dataset? | SSIM, PSNR, NMSE, Params (M) |
What metrics were used to measure the E2E-VarNet (train+val) model in the End-to-End Variational Networks for Accelerated MRI Reconstruction paper on the fastMRI Knee Val 8x dataset? | SSIM, PSNR, NMSE, Params (M) |
What metrics were used to measure the End-to-end variational network model in the End-to-End Variational Networks for Accelerated MRI Reconstruction paper on the fastMRI Knee 4x dataset? | SSIM, PSNR |
What metrics were used to measure the XPDNet model in the XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge paper on the fastMRI Knee 4x dataset? | SSIM, PSNR |
What metrics were used to measure the End-to-end variational network model in the End-to-End Variational Networks for Accelerated MRI Reconstruction paper on the fastMRI Brain 8x dataset? | SSIM, PSNR |
What metrics were used to measure the XPDNet model in the XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge paper on the fastMRI Brain 8x dataset? | SSIM, PSNR |
What metrics were used to measure the HUMUS-Net (train+val data) model in the HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction paper on the fastMRI Knee 8x dataset? | SSIM, PSNR |
What metrics were used to measure the HUMUS-Net (train only) model in the HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction paper on the fastMRI Knee 8x dataset? | SSIM, PSNR |
What metrics were used to measure the End-to-end variational network model in the End-to-End Variational Networks for Accelerated MRI Reconstruction paper on the fastMRI Knee 8x dataset? | SSIM, PSNR |
What metrics were used to measure the XPDNet model in the XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge paper on the fastMRI Knee 8x dataset? | SSIM, PSNR |
What metrics were used to measure the End-to-end variational network model in the End-to-End Variational Networks for Accelerated MRI Reconstruction paper on the fastMRI Brain 4x dataset? | SSIM, PSNR |
What metrics were used to measure the XPDNet model in the XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge paper on the fastMRI Brain 4x dataset? | SSIM, PSNR |
What metrics were used to measure the Residual U-NET model in the Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain paper on the IXI dataset? | DSSIM, MSE |
What metrics were used to measure the Chinchilla-70B (few-shot, k=5) model in the Training Compute-Optimal Large Language Models paper on the BIG-bench dataset? | Accuracy |
What metrics were used to measure the Gopher-280B (few-shot, k=5) model in the Scaling Language Models: Methods, Analysis & Insights from Training Gopher paper on the BIG-bench dataset? | Accuracy |
What metrics were used to measure the Chinchilla-70B (few-shot, k=5) model in the Training Compute-Optimal Large Language Models paper on the BIG-bench dataset? | Accuracy |
What metrics were used to measure the Gopher-280B (few-shot, k=5) model in the Scaling Language Models: Methods, Analysis & Insights from Training Gopher paper on the BIG-bench dataset? | Accuracy |
What metrics were used to measure the Chinchilla-70B (few-shot, k=5) model in the Training Compute-Optimal Large Language Models paper on the BIG-bench dataset? | Accuracy |
What metrics were used to measure the Gopher-280B (few-shot, k=5) model in the Scaling Language Models: Methods, Analysis & Insights from Training Gopher paper on the BIG-bench dataset? | Accuracy |
What metrics were used to measure the SS-Model + WS-Model + Sultani et al. model in the Iterative weak/self-supervised classification framework for abnormal events detection paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the SS-Model model in the Iterative weak/self-supervised classification framework for abnormal events detection paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the Sultani et al. model in the Real-world Anomaly Detection in Surveillance Videos paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the LSTM-AE model in the Abnormal Event Detection in Videos using Spatiotemporal Autoencoder paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the s2-VAE model in the Generative Neural Networks for Anomaly Detection in Crowded Scenes paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the Adversarial Generator model in the Abnormal Event Detection in Videos using Generative Adversarial Nets paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the Hasan et al. model in the Learning Temporal Regularity in Video Sequences paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the XSleepNet (EEG, EOG, EMG) model in the XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging paper on the PhysioNet Challenge 2018 dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the SleePyCo (C3-A2 only) model in the SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning paper on the PhysioNet Challenge 2018 dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the SLEEPER-DT model in the SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules paper on the ISRUC-Sleep dataset? | AUROC, Accuracy, Kappa |
What metrics were used to measure the SleePyCo (C4-A1 only) model in the SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning paper on the Montreal Archive of Sleep Studies dataset? | Accuracy, Cohen's kappa, Macro-F1 |
What metrics were used to measure the U-time EEG only (4 classes) model in the A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep staging paper on the Montreal Archive of Sleep Studies dataset? | Accuracy, Cohen's kappa, Macro-F1 |
What metrics were used to measure the SimpleSleepNet model in the Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging paper on the DODH dataset? | Accuracy, Kappa |
What metrics were used to measure the DeepSleepNet model in the Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging paper on the DODH dataset? | Accuracy, Kappa |
What metrics were used to measure the SimpleSleepNet model in the Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging paper on the DODO dataset? | Accuracy, Kappa |
What metrics were used to measure the DeepSleepNet model in the Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging paper on the DODO dataset? | Accuracy, Kappa |
What metrics were used to measure the SeqSleepNet model in the Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging paper on the DODO dataset? | Accuracy, Kappa |
What metrics were used to measure the SleePyCo (C4-A1 only) model in the SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning paper on the SHHS (single-channel) dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the XSleepNet (C4-A1 only) model in the XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging paper on the SHHS (single-channel) dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the SleePyCo (Fpz-Cz only) model in the SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning paper on the Sleep-EDFx dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the XSleepNet (EEG, EOG) model in the XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging paper on the Sleep-EDFx dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the SleePyCo (Fpz-Cz only) model in the SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning paper on the Sleep-EDF dataset? | Accuracy, Cohen's kappa, Macro-F1 |
What metrics were used to measure the CatBoost model in the Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring paper on the Sleep-EDF dataset? | Accuracy, Cohen's kappa, Macro-F1 |
What metrics were used to measure the XSleepNet (EEG, EOG) model in the XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging paper on the Sleep-EDF dataset? | Accuracy, Cohen's kappa, Macro-F1 |
What metrics were used to measure the Linear model model in the Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring paper on the Sleep-EDF dataset? | Accuracy, Cohen's kappa, Macro-F1 |
What metrics were used to measure the IITNet CRNN (Fpz-Cz only) model in the Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG paper on the Sleep-EDF dataset? | Accuracy, Cohen's kappa, Macro-F1 |
What metrics were used to measure the DeepSleepNet model in the DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG paper on the Sleep-EDF dataset? | Accuracy, Cohen's kappa, Macro-F1 |
What metrics were used to measure the Multitask 1-max CNN model in the Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification paper on the Sleep-EDF dataset? | Accuracy, Cohen's kappa, Macro-F1 |
What metrics were used to measure the Deep CNN with
transfer-learning model in the Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring paper on the Sleep-EDF dataset? | Accuracy, Cohen's kappa, Macro-F1 |
What metrics were used to measure the IITNet (F4-EOG [Left] only) model in the Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG paper on the MASS SS2 dataset? | Accuracy |
What metrics were used to measure the Multitask
1-max CNN model in the Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification paper on the MASS SS2 dataset? | Accuracy |
What metrics were used to measure the SleePyCo (Fpz-Cz only) model in the SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning paper on the Sleep-EDFx (single-channel) dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the XSleepNet (Fpz-Cz only) model in the XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging paper on the Sleep-EDFx (single-channel) dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
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