prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the CeiT-S (384 finetune resolution) model in the Incorporating Convolution Designs into Visual Transformers paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the CaiT-M-36 U 224 model in the Going deeper with Image Transformers paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the CeiT-S model in the Incorporating Convolution Designs into Visual Transformers paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the CeiT-T (384 finetune resolution) model in the Incorporating Convolution Designs into Visual Transformers paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the ResNet50 (A2) model in the ResNet strikes back: An improved training procedure in timm paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the LeViT-384 model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the CeiT-T model in the Incorporating Convolution Designs into Visual Transformers paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the ResMLP-24 model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the LeViT-256 model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the ResMLP-12 model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the LeViT-192 model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the LeViT-128 model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the LeViT-128S model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the iNaturalist 2019 dataset? | Top-1 Accuracy |
What metrics were used to measure the FedAvgM + ASAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the HyT-NAS-BA model in the HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices paper on the Visual Wake Words dataset? | Accuracy |
What metrics were used to measure the ProxylessNAS model in the HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices paper on the Visual Wake Words dataset? | Accuracy |
What metrics were used to measure the MobileNetV2 (x0.35) model in the HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices paper on the Visual Wake Words dataset? | Accuracy |
What metrics were used to measure the MobileNetV1 model in the HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices paper on the Visual Wake Words dataset? | Accuracy |
What metrics were used to measure the Fuzzy rank-based fusion of CNN models using Gompertz function model in the Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-Scans paper on the SARS-COV-2 dataset? | 1:1 Accuracy |
What metrics were used to measure the ResNet-50 model in the A Data Set and a Convolutional Model for Iconography Classification in Paintings paper on the ArtDL dataset? | Average Precision, F1 |
What metrics were used to measure the NNCLR model in the With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations paper on the PASCAL VOC 2007 dataset? | Accuracy |
What metrics were used to measure the ViT-Large/16 (384) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the ViT-Base/16 (384) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the SE-ResNeXt-101-32x4d model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the ViT-Large/16 (224) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the EfficientNet-B3 (299) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the SE-ResNeXt-101-32x4d (224) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the EfficientNet-B5 (299) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the ResNet-50 (299) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the EfficientNet-B1 (299) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the EfficientNet-B0 (299) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the Inception-V4 (299) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the EfficientNet-B3 (224) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the Inception-V3 (299) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the EfficientNet-B0 (224) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the MobileNet-V2 (299) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the Inception-ResNet-V2 (299) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the ResNet-18 model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the SE-ResNeXt-101-32x4d (299) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the ResNet-34 (299) model in the Danish Fungi 2020 -- Not Just Another Image Recognition Dataset paper on the DF20 - Mini dataset? | Top-1, Top-3, F1 - macro |
What metrics were used to measure the kEffNet-B0 V2 16ch model in the An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints paper on the Malaria Dataset dataset? | Acc. (test), PARAMS |
What metrics were used to measure the µ2Net+ (ViT-L/16) model in the A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems paper on the Malaria Dataset dataset? | Acc. (test), PARAMS |
What metrics were used to measure the kEffNet-B0 V2 2ch model in the An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints paper on the Malaria Dataset dataset? | Acc. (test), PARAMS |
What metrics were used to measure the OT-MDR model in the Optimal Transport Model Distributional Robustness paper on the cifar10 dataset? | Classification Accuracy, Accuarcy, Accuracy, F1 Macro, F1 Micro, F1 Weighted, Precision Macro, Precision Micro, Precision Weighted, Recall Macro, Recall Micro, Recall Weighted, loss |
What metrics were used to measure the Densenet121 model in the Optimal Transport Model Distributional Robustness paper on the cifar10 dataset? | Classification Accuracy, Accuarcy, Accuracy, F1 Macro, F1 Micro, F1 Weighted, Precision Macro, Precision Micro, Precision Weighted, Recall Macro, Recall Micro, Recall Weighted, loss |
What metrics were used to measure the Pyramid101 model in the Optimal Transport Model Distributional Robustness paper on the cifar10 dataset? | Classification Accuracy, Accuarcy, Accuracy, F1 Macro, F1 Micro, F1 Weighted, Precision Macro, Precision Micro, Precision Weighted, Recall Macro, Recall Micro, Recall Weighted, loss |
What metrics were used to measure the SAM model in the Optimal Transport Model Distributional Robustness paper on the cifar10 dataset? | Classification Accuracy, Accuarcy, Accuracy, F1 Macro, F1 Micro, F1 Weighted, Precision Macro, Precision Micro, Precision Weighted, Recall Macro, Recall Micro, Recall Weighted, loss |
What metrics were used to measure the JoSH model in the Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding paper on the NYT dataset? | MACC, Topic coherence@5 |
What metrics were used to measure the JoSH model in the Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding paper on the arXiv dataset? | MACC, Topic Coherence@50, Topic coherence@5 |
What metrics were used to measure the TopicEq model in the TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts paper on the arXiv dataset? | MACC, Topic Coherence@50, Topic coherence@5 |
What metrics were used to measure the vONTSS model in the vONTSS: vMF based semi-supervised neural topic modeling with optimal transport paper on the 20NewsGroups dataset? | C_v |
What metrics were used to measure the GSM model in the Discovering Discrete Latent Topics with Neural Variational Inference paper on the 20NewsGroups dataset? | C_v |
What metrics were used to measure the vNVDM model in the Spherical Latent Spaces for Stable Variational Autoencoders paper on the 20NewsGroups dataset? | C_v |
What metrics were used to measure the ETM model in the Topic Modeling in Embedding Spaces paper on the 20NewsGroups dataset? | C_v |
What metrics were used to measure the NSTM model in the Neural Topic Model via Optimal Transport paper on the 20NewsGroups dataset? | C_v |
What metrics were used to measure the ProdLDA model in the Autoencoding Variational Inference For Topic Models paper on the 20NewsGroups dataset? | C_v |
What metrics were used to measure the vONTSS model in the vONTSS: vMF based semi-supervised neural topic modeling with optimal transport paper on the AG News dataset? | C_v, NPMI |
What metrics were used to measure the vNVDM model in the Spherical Latent Spaces for Stable Variational Autoencoders paper on the AG News dataset? | C_v, NPMI |
What metrics were used to measure the GSM model in the Discovering Discrete Latent Topics with Neural Variational Inference paper on the AG News dataset? | C_v, NPMI |
What metrics were used to measure the ETM model in the Topic Modeling in Embedding Spaces paper on the AG News dataset? | C_v, NPMI |
What metrics were used to measure the NSTM model in the Neural Topic Model via Optimal Transport paper on the AG News dataset? | C_v, NPMI |
What metrics were used to measure the ProdLDA model in the Autoencoding Variational Inference For Topic Models paper on the AG News dataset? | C_v, NPMI |
What metrics were used to measure the vONTSS model in the vONTSS: vMF based semi-supervised neural topic modeling with optimal transport paper on the AgNews dataset? | C_v |
What metrics were used to measure the Bayesian SMM model in the Learning document embeddings along with their uncertainties paper on the 20 Newsgroups dataset? | Test perplexity |
What metrics were used to measure the NVDM model in the Neural Variational Inference for Text Processing paper on the 20 Newsgroups dataset? | Test perplexity |
What metrics were used to measure the XGBoost model in the Thou shalt not hate: Countering Online Hate Speech paper on the Youtube counterspeech dataset dataset? | F1 score |
What metrics were used to measure the BCAUSS model in the Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation paper on the Jobs dataset? | Average Treatment Effect on the Treated Error |
What metrics were used to measure the GANITE model in the GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets paper on the Jobs dataset? | Average Treatment Effect on the Treated Error |
What metrics were used to measure the CFR MMD model in the Estimating individual treatment effect: generalization bounds and algorithms paper on the Jobs dataset? | Average Treatment Effect on the Treated Error |
What metrics were used to measure the BART model in the BART: Bayesian additive regression trees paper on the Jobs dataset? | Average Treatment Effect on the Treated Error |
What metrics were used to measure the CFR WASS model in the Estimating individual treatment effect: generalization bounds and algorithms paper on the Jobs dataset? | Average Treatment Effect on the Treated Error |
What metrics were used to measure the OLS with separate regressors for each treatment model in the Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck paper on the IDHP dataset? | Average Treatment Effect Error |
What metrics were used to measure the BART model in the paper on the IDHP dataset? | Average Treatment Effect Error |
What metrics were used to measure the model in the Efficient Counterfactual Learning from Bandit Feedback paper on the IDHP dataset? | Average Treatment Effect Error |
What metrics were used to measure the BCAUSS model in the Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the Dragonnet model in the Adapting Neural Networks for the Estimation of Treatment Effects paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the MTDL-KNN model in the Deep representation learning for individualized treatment effect estimation using electronic health records paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the Counterfactual Regression + WASS model in the Estimating individual treatment effect: generalization bounds and algorithms paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the TARNet model in the Estimating individual treatment effect: generalization bounds and algorithms paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the BCAUS DR model in the Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the Causal Forest model in the Estimating individual treatment effect: generalization bounds and algorithms paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the Balancing Neural Network model in the Estimating individual treatment effect: generalization bounds and algorithms paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the CEVAE model in the Causal Effect Inference with Deep Latent-Variable Models paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the k-NN model in the Estimating individual treatment effect: generalization bounds and algorithms paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the Balancing Linear Regression model in the Estimating individual treatment effect: generalization bounds and algorithms paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the Random Forest model in the Estimating individual treatment effect: generalization bounds and algorithms paper on the IHDP dataset? | Average Treatment Effect Error |
What metrics were used to measure the ST-UNet model in the ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling paper on the PeMS-M dataset? | MAE (60 min) |
What metrics were used to measure the 3D-TGCN model in the 3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting paper on the PeMS-M dataset? | MAE (60 min) |
What metrics were used to measure the STGCN model in the Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting paper on the PeMS-M dataset? | MAE (60 min) |
What metrics were used to measure the FC-LSTM model in the Sequence to Sequence Learning with Neural Networks paper on the PeMS-M dataset? | MAE (60 min) |
What metrics were used to measure the T-UNet model in the ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling paper on the PeMS-M dataset? | MAE (60 min) |
What metrics were used to measure the DASTNet model in the Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities paper on the PeMSD7 (10 days' training data, 15min) dataset? | MAE, MAPE, RMSE |
What metrics were used to measure the STAEformer model in the STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting paper on the PeMS08 dataset? | MAE@1h, FLOPs(M), MAE, MAPE, Parameters(K), RMSE |
What metrics were used to measure the PDFormer model in the PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction paper on the PeMS08 dataset? | MAE@1h, FLOPs(M), MAE, MAPE, Parameters(K), RMSE |
What metrics were used to measure the CorrSTN model in the A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting paper on the PeMS08 dataset? | MAE@1h, FLOPs(M), MAE, MAPE, Parameters(K), RMSE |
What metrics were used to measure the LightCTS model in the LightCTS: A Lightweight Framework for Correlated Time Series Forecasting paper on the PeMS08 dataset? | MAE@1h, FLOPs(M), MAE, MAPE, Parameters(K), RMSE |
What metrics were used to measure the PDFormer model in the PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction paper on the PeMSD7 dataset? | 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
What metrics were used to measure the STG-NCDE model in the Graph Neural Controlled Differential Equations for Traffic Forecasting paper on the PeMSD7 dataset? | 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
What metrics were used to measure the STGM model in the Spatio-Temporal Graph Mixformer for Traffic Forecasting paper on the METR-LA dataset? | MAE @ 12 step, 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
What metrics were used to measure the Traffic Transformer model in the Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting paper on the METR-LA dataset? | MAE @ 12 step, 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
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