prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SLCNN model in the Spatio-Temporal Graph Structure Learning 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 STAEformer model in the STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA 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 D2STGNN model in the Decoupled Dynamic Spatial-Temporal Graph Neural Network 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 STEP model in the Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series 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 MegaCRN model in the Spatio-Temporal Meta-Graph Learning 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 ADN model in the Structured Time Series Prediction without Structural Prior 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 STAWnet model in the Spatial‐temporal attention wavenet: A deep learning framework for traffic prediction considering spatial‐temporal dependencies 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 Finetune from t1-6 checkpoint model in the Incrementally Improving Graph WaveNet Performance on Traffic Prediction 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 DCGCN model in the Dynamic Causal Graph Convolutional Network for Traffic Prediction 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 GWNET-Cov model in the Conditional Temporal Neural Processes with Covariance Loss 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 Graph WaveNet model in the Graph WaveNet for Deep Spatial-Temporal Graph Modeling 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 ST-UNet model in the ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling 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 DCRNN model in the Diffusion Convolutional Recurrent Neural Network: Data-Driven 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 STGCN model in the Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework 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 DASTNet model in the Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities paper on the PeMSD4 (10 days' training data, 60min) dataset? | MAE, MAPE, RMSE |
What metrics were used to measure the DDGCRN model in the A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting paper on the PeMSD7(L) 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(L) dataset? | 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
What metrics were used to measure the ST-SSL model in the Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction paper on the NYCBike2 dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the AGCRN model in the Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting paper on the NYCBike2 dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the STSGCN model in the Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting paper on the NYCBike2 dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the STFGNN model in the Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting paper on the NYCBike2 dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
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 PeMS07 dataset? | MAE@1h |
What metrics were used to measure the CorrSTN model in the A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting paper on the PeMS07 dataset? | MAE@1h |
What metrics were used to measure the DDGCRN model in the A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting paper on the PeMS07 dataset? | MAE@1h |
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 PeMS07 dataset? | MAE@1h |
What metrics were used to measure the ADN model in the Structured Time Series Prediction without Structural Prior paper on the PeMS07 dataset? | MAE@1h |
What metrics were used to measure the STFGNN model in the Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting paper on the PeMS07 dataset? | MAE@1h |
What metrics were used to measure the STGODE model in the Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting paper on the PeMS07 dataset? | MAE@1h |
What metrics were used to measure the STSGCN model in the Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting paper on the PeMS07 dataset? | MAE@1h |
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 PeMS07 dataset? | MAE@1h |
What metrics were used to measure the ASTGCN model in the Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting paper on the PeMS07 dataset? | MAE@1h |
What metrics were used to measure the ST-SSL model in the Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction paper on the NYCBike1 dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the AGCRN model in the Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting paper on the NYCBike1 dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the STSGCN model in the Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting paper on the NYCBike1 dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the STFGNN model in the Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting paper on the NYCBike1 dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the DDGCRN model in the A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting paper on the PeMSD7(M) 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(M) 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 PeMSD7(M) dataset? | 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
What metrics were used to measure the STEP model in the Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting paper on the PEMS-BAY dataset? | MAE @ 12 step, RMSE , RMSE |
What metrics were used to measure the D2STGNN model in the Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting paper on the PEMS-BAY dataset? | MAE @ 12 step, RMSE , RMSE |
What metrics were used to measure the STGM model in the Spatio-Temporal Graph Mixformer for Traffic Forecasting paper on the PEMS-BAY dataset? | MAE @ 12 step, RMSE , RMSE |
What metrics were used to measure the MegaCRN model in the Spatio-Temporal Meta-Graph Learning for Traffic Forecasting paper on the PEMS-BAY dataset? | MAE @ 12 step, RMSE , RMSE |
What metrics were used to measure the STAWnet model in the Spatial‐temporal attention wavenet: A deep learning framework for traffic prediction considering spatial‐temporal dependencies paper on the PEMS-BAY dataset? | MAE @ 12 step, RMSE , RMSE |
What metrics were used to measure the GWNET-Cov model in the Conditional Temporal Neural Processes with Covariance Loss paper on the PEMS-BAY dataset? | MAE @ 12 step, RMSE , 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 PEMS-BAY dataset? | MAE @ 12 step, RMSE , RMSE |
What metrics were used to measure the GMAN model in the GMAN: A Graph Multi-Attention Network for Traffic Prediction paper on the PEMS-BAY dataset? | MAE @ 12 step, RMSE , RMSE |
What metrics were used to measure the Graph Wave-Net model in the Graph WaveNet for Deep Spatial-Temporal Graph Modeling paper on the PEMS-BAY dataset? | MAE @ 12 step, RMSE , RMSE |
What metrics were used to measure the SLCNN model in the Spatio-Temporal Graph Structure Learning for Traffic Forecasting paper on the PEMS-BAY dataset? | MAE @ 12 step, RMSE , RMSE |
What metrics were used to measure the DCRNN model in the Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting paper on the PEMS-BAY dataset? | MAE @ 12 step, RMSE , RMSE |
What metrics were used to measure the STBayesian model in the Traffic signal prediction on transportation networks using spatio-temporal correlations on graphs paper on the PEMS-BAY dataset? | MAE @ 12 step, RMSE , 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 PeMSD8 dataset? | 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
What metrics were used to measure the DDGCRN model in the A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting paper on the PeMSD8 dataset? | 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
What metrics were used to measure the HAGCN model in the HAGCN : Network Decentralization Attention Based Heterogeneity-Aware Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting paper on the PeMSD8 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 PeMSD8 dataset? | 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
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 PeMSD4 (10 days' training data, 30min) dataset? | MAE, MAPE, RMSE |
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 PeMSD4 (10 days' training data, 15min) dataset? | MAE, MAPE, RMSE |
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 PeMSD8 (10 days' training data, 60min) dataset? | MAE, MAPE, RMSE |
What metrics were used to measure the ST-SSL model in the Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction paper on the BJTaxi dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the AGCRN model in the Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting paper on the BJTaxi dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the STSGCN model in the Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting paper on the BJTaxi dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the STFGNN model in the Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting paper on the BJTaxi dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
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 PeMSD8 (10 days' training data, 15min) dataset? | MAE, MAPE, RMSE |
What metrics were used to measure the MegaCRN model in the Spatio-Temporal Meta-Graph Learning for Traffic Forecasting paper on the EXPY-TKY dataset? | 1 step MAE |
What metrics were used to measure the hybrid Seq2Seq model in the Deep Sequence Learning with Auxiliary Information for Traffic Prediction paper on the Q-Traffic dataset? | MAPE |
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, 30min) dataset? | MAE, MAPE, 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 HZME(outflow) dataset? | MAE@1h |
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 PeMS04 dataset? | 12 Steps MAE, 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 PeMS04 dataset? | 12 Steps MAE, FLOPs(M), MAE, MAPE, Parameters(K), RMSE |
What metrics were used to measure the DDGCRN model in the A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting paper on the PeMS04 dataset? | 12 Steps MAE, FLOPs(M), MAE, MAPE, Parameters(K), RMSE |
What metrics were used to measure the IDCN model in the paper on the PeMS04 dataset? | 12 Steps MAE, FLOPs(M), MAE, MAPE, Parameters(K), RMSE |
What metrics were used to measure the AGCRN model in the Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting paper on the PeMS04 dataset? | 12 Steps MAE, 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 PeMS04 dataset? | 12 Steps MAE, 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 PeMSD4 dataset? | 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
What metrics were used to measure the DDGCRN model in the A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting paper on the PeMSD4 dataset? | 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
What metrics were used to measure the HAGCN model in the HAGCN : Network Decentralization Attention Based Heterogeneity-Aware Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting paper on the PeMSD4 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 PeMSD4 dataset? | 12 steps MAE, 12 steps MAPE, 12 steps RMSE |
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, 60min) dataset? | MAE, MAPE, RMSE |
What metrics were used to measure the ST-SSL model in the Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction paper on the NYCTaxi dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the AGCRN model in the Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting paper on the NYCTaxi dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the STSGCN model in the Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting paper on the NYCTaxi dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the STFGNN model in the Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting paper on the NYCTaxi dataset? | MAE @ in, MAE @ out, MAPE (%) @ in, MAPE (%) @ out |
What metrics were used to measure the DDGCRN model in the A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting paper on the PeMSD3 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 PeMSD3 dataset? | 12 steps MAE, 12 steps MAPE, 12 steps 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 HZME(inflow) dataset? | MAE@1h |
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 PeMSD8 (10 days' training data, 30min) dataset? | MAE, MAPE, RMSE |
What metrics were used to measure the kNN-VC (prematched HiFiGAN) model in the Voice Conversion With Just Nearest Neighbors paper on the LibriSpeech test-clean dataset? | Character Error Rate (CER), Equal Error Rate, Word Error Rate (WER) |
What metrics were used to measure the VQ-CPC model in the Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge paper on the ZeroSpeech 2019 English dataset? | Speaker Similarity |
What metrics were used to measure the VQ-VAE model in the Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge paper on the ZeroSpeech 2019 English dataset? | Speaker Similarity |
What metrics were used to measure the DenseNet-BC-100 model in the Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection paper on the CIFAR-10 vs ImageNet (R) dataset? | AUROC |
What metrics were used to measure the ResNet-34 model in the Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection paper on the CIFAR-10 vs ImageNet (R) dataset? | AUROC |
What metrics were used to measure the DHM model in the Deep Hybrid Models for Out-of-Distribution Detection paper on the CIFAR-10 dataset? | AUROC, FPR95 |
What metrics were used to measure the Wide ResNet 40x2 model in the An Effective Baseline for Robustness to Distributional Shift paper on the CIFAR-10 dataset? | AUROC, FPR95 |
What metrics were used to measure the ResNet 34 + OECC+GM model in the Outlier Exposure with Confidence Control for Out-of-Distribution Detection paper on the CIFAR-10 dataset? | AUROC, FPR95 |
What metrics were used to measure the ResNet 34 + FSSD model in the Feature Space Singularity for Out-of-Distribution Detection paper on the CIFAR-10 dataset? | AUROC, FPR95 |
What metrics were used to measure the Wide ResNet 40x2 model in the RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection paper on the CIFAR-10 dataset? | AUROC, FPR95 |
What metrics were used to measure the ZODE-KNN model in the Boosting Out-of-Distribution Detection with Multiple Pre-trained Models paper on the CIFAR-10 dataset? | AUROC, FPR95 |
What metrics were used to measure the ResNet18 + APR-P model in the Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain paper on the CIFAR-10 dataset? | AUROC, FPR95 |
What metrics were used to measure the WRN 40-2 + OE model in the Deep Anomaly Detection with Outlier Exposure paper on the CIFAR-10 dataset? | AUROC, FPR95 |
What metrics were used to measure the WRN 40-2 (MSP Baseline) model in the Deep Anomaly Detection with Outlier Exposure paper on the CIFAR-10 dataset? | AUROC, FPR95 |
What metrics were used to measure the WRN 40-2 + Rotation Prediction model in the Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty paper on the CIFAR-10 dataset? | AUROC, FPR95 |
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