prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the RR-GCN-PPV model in the R-GCN: The R Could Stand for Random paper on the AM dataset? | Accuracy |
What metrics were used to measure the Refine model in the Learning to Refine Human Pose Estimation paper on the PoseTrack2018 dataset? | MOTA |
What metrics were used to measure the StyleGAN2-ADA model in the Evaluating the Performance of StyleGAN2-ADA on Medical Images paper on the SLIVER07 dataset? | FID |
What metrics were used to measure the StyleGAN model in the GANs for Medical Image Synthesis: An Empirical Study paper on the SLIVER07 dataset? | FID |
What metrics were used to measure the StyleGAN2-ADA model in the Evaluating the Performance of StyleGAN2-ADA on Medical Images paper on the ACDC dataset? | FID |
What metrics were used to measure the StyleGAN model in the GANs for Medical Image Synthesis: An Empirical Study paper on the ACDC dataset? | FID |
What metrics were used to measure the StyleGAN2-ADA model in the Evaluating the Performance of StyleGAN2-ADA on Medical Images paper on the ChestXray14 1024x1024 dataset? | FID |
What metrics were used to measure the Progressive Growing GAN model in the Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs paper on the ChestXray14 1024x1024 dataset? | FID |
What metrics were used to measure the DCGAN model in the Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images paper on the Chest X-Ray Images (Pneumonia) dataset? | Frechet Inception Distance |
What metrics were used to measure the SoftModule model in the Multi-Task Reinforcement Learning with Soft Modularization paper on the MT50 dataset? | Average Success Rate |
What metrics were used to measure the Multi-task multi-head SAC model in the Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning paper on the MT50 dataset? | Average Success Rate |
What metrics were used to measure the DisCor model in the DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction paper on the MT50 dataset? | Average Success Rate |
What metrics were used to measure the NDP model in the Neural Dynamic Policies for End-to-End Sensorimotor Learning paper on the MT50 dataset? | Average Success Rate |
What metrics were used to measure the MAML model in the Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning paper on the ML10 dataset? | Meta-test success rate, Meta-train success rate, Meta-test success rate (zero-shot) |
What metrics were used to measure the RL^2 model in the Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning paper on the ML10 dataset? | Meta-test success rate, Meta-train success rate, Meta-test success rate (zero-shot) |
What metrics were used to measure the DnC model in the Analyzing Policy Distillation on Multi-Task Learning and Meta-Reinforcement Learning in Meta-World paper on the ML10 dataset? | Meta-test success rate, Meta-train success rate, Meta-test success rate (zero-shot) |
What metrics were used to measure the PEARL model in the Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning paper on the ML10 dataset? | Meta-test success rate, Meta-train success rate, Meta-test success rate (zero-shot) |
What metrics were used to measure the MZ+Recon model in the Procedural Generalization by Planning with Self-Supervised World Models paper on the ML10 dataset? | Meta-test success rate, Meta-train success rate, Meta-test success rate (zero-shot) |
What metrics were used to measure the MZ model in the Procedural Generalization by Planning with Self-Supervised World Models paper on the ML10 dataset? | Meta-test success rate, Meta-train success rate, Meta-test success rate (zero-shot) |
What metrics were used to measure the Metadrop model in the Meta Dropout: Learning to Perturb Latent Features for Generalization paper on the OMNIGLOT - 1-Shot, 20-way dataset? | % Test Accuracy |
What metrics were used to measure the MZ+Recon model in the Procedural Generalization by Planning with Self-Supervised World Models paper on the ML45 dataset? | Meta-test success rate (zero-shot), Meta-train success rate |
What metrics were used to measure the MZ model in the Procedural Generalization by Planning with Self-Supervised World Models paper on the ML45 dataset? | Meta-test success rate (zero-shot), Meta-train success rate |
What metrics were used to measure the CNN model in the Evaluating surgical skills from kinematic data using convolutional neural networks paper on the JIGSAWS dataset? | Accuracy, Edit Distance |
What metrics were used to measure the Bidir. LSTM model in the Recognizing Surgical Activities with Recurrent Neural Networks paper on the JIGSAWS dataset? | Accuracy, Edit Distance |
What metrics were used to measure the Bidir. LSTM model in the Recognizing Surgical Activities with Recurrent Neural Networks paper on the MISTIC-SIL dataset? | Accuracy, Edit Distance |
What metrics were used to measure the GPT-Driver model in the GPT-Driver: Learning to Drive with GPT paper on the nuScenes dataset? | Collision, L2 |
What metrics were used to measure the R-Transformer model in the R-Transformer: Recurrent Neural Network Enhanced Transformer paper on the Nottingham dataset? | NLL, Parameters |
What metrics were used to measure the TCN model in the Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling paper on the Nottingham dataset? | NLL, Parameters |
What metrics were used to measure the Seq-U-Net model in the Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling paper on the Nottingham dataset? | NLL, Parameters |
What metrics were used to measure the TCN model in the An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling paper on the Nottingham dataset? | NLL, Parameters |
What metrics were used to measure the LSTM model in the An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling paper on the Nottingham dataset? | NLL, Parameters |
What metrics were used to measure the Transformer model in the R-Transformer: Recurrent Neural Network Enhanced Transformer paper on the Nottingham dataset? | NLL, Parameters |
What metrics were used to measure the GRU model in the An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling paper on the Nottingham dataset? | NLL, Parameters |
What metrics were used to measure the RNN model in the An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling paper on the Nottingham dataset? | NLL, Parameters |
What metrics were used to measure the TonicNet model in the JS Fake Chorales: a Synthetic Dataset of Polyphonic Music with Human Annotation paper on the JSB Chorales dataset? | NLL, Parameters |
What metrics were used to measure the TonicNet model in the Improving Polyphonic Music Models with Feature-Rich Encoding paper on the JSB Chorales dataset? | NLL, Parameters |
What metrics were used to measure the Music Transformer model in the Music Transformer paper on the JSB Chorales dataset? | NLL, Parameters |
What metrics were used to measure the CoCoNet model in the Counterpoint by Convolution paper on the JSB Chorales dataset? | NLL, Parameters |
What metrics were used to measure the RNN-NADE model in the Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription paper on the JSB Chorales dataset? | NLL, Parameters |
What metrics were used to measure the RNN-RBM model in the Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription paper on the JSB Chorales dataset? | NLL, Parameters |
What metrics were used to measure the TCN model in the An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling paper on the JSB Chorales dataset? | NLL, Parameters |
What metrics were used to measure the TCN model in the Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling paper on the JSB Chorales dataset? | NLL, Parameters |
What metrics were used to measure the Seq-U-Net model in the Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling paper on the JSB Chorales dataset? | NLL, Parameters |
What metrics were used to measure the GRU model in the Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling paper on the JSB Chorales dataset? | NLL, Parameters |
What metrics were used to measure the CORe model in the Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration paper on the Clinical Admission Notes from MIMIC-III dataset? | AUROC |
What metrics were used to measure the BioBERT Base model in the Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration paper on the Clinical Admission Notes from MIMIC-III dataset? | AUROC |
What metrics were used to measure the BERT Base model in the Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration paper on the Clinical Admission Notes from MIMIC-III dataset? | AUROC |
What metrics were used to measure the Random Forest model in the Early hospital mortality prediction using vital signals paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the Gaussian SVM model in the Early hospital mortality prediction using vital signals paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the Decision Tree model in the Early hospital mortality prediction using vital signals paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the Boosted Trees model in the Early hospital mortality prediction using vital signals paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the K-NN model in the Early hospital mortality prediction using vital signals paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the Logistic regression model in the Early hospital mortality prediction using vital signals paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the Linear Discriminant model in the Early hospital mortality prediction using vital signals paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the Linear SVM model in the Early hospital mortality prediction using vital signals paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the ELECTRA (pretrained) model in the MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the ELECTRA (from scratch) model in the MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the LSTM+SA (pretrained) model in the MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the LSTM (pretrained) model in the MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the LSTM+SA (from scratch) model in the MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining paper on the MIMIC-III dataset? | F1 score, Precision, Recall, Accuracy |
What metrics were used to measure the FGCNN+IPNN model in the Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction paper on the Huawei App Store dataset? | AUC, Log Loss |
What metrics were used to measure the DIEN model in the Deep Interest Evolution Network for Click-Through Rate Prediction paper on the Amazon Dataset dataset? | AUC |
What metrics were used to measure the github.com/guotong1988/movielens_dataset model in the paper on the MovieLens 20M dataset? | AUC |
What metrics were used to measure the DIN + Dice Activation model in the Deep Interest Network for Click-Through Rate Prediction paper on the MovieLens 20M dataset? | AUC |
What metrics were used to measure the DIN model in the Deep Interest Network for Click-Through Rate Prediction paper on the MovieLens 20M dataset? | AUC |
What metrics were used to measure the DeepFM model in the DeepFM: A Factorization-Machine based Neural Network for CTR Prediction paper on the MovieLens 20M dataset? | AUC |
What metrics were used to measure the PNN model in the Product-based Neural Networks for User Response Prediction paper on the MovieLens 20M dataset? | AUC |
What metrics were used to measure the Wide & Deep model in the Wide & Deep Learning for Recommender Systems paper on the MovieLens 20M dataset? | AUC |
What metrics were used to measure the xDeepFM model in the xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems paper on the Bing News dataset? | AUC, Log Loss, Accuracy |
What metrics were used to measure the Wide & Deep model in the Wide & Deep Learning for Recommender Systems paper on the Bing News dataset? | AUC, Log Loss, Accuracy |
What metrics were used to measure the DeepFM model in the DeepFM: A Factorization-Machine based Neural Network for CTR Prediction paper on the Bing News dataset? | AUC, Log Loss, Accuracy |
What metrics were used to measure the PNN model in the Product-based Neural Networks for User Response Prediction paper on the Bing News dataset? | AUC, Log Loss, Accuracy |
What metrics were used to measure the RippleNet model in the RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems paper on the Bing News dataset? | AUC, Log Loss, Accuracy |
What metrics were used to measure the DKN model in the DKN: Deep Knowledge-Aware Network for News Recommendation paper on the Bing News dataset? | AUC, Log Loss, Accuracy |
What metrics were used to measure the DNN model in the xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems paper on the Bing News dataset? | AUC, Log Loss, Accuracy |
What metrics were used to measure the MemoNet model in the MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction paper on the KDD12 dataset? | AUC, Log Loss |
What metrics were used to measure the OptEmbed model in the OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction paper on the KDD12 dataset? | AUC, Log Loss |
What metrics were used to measure the OptFS model in the Optimizing Feature Set for Click-Through Rate Prediction paper on the KDD12 dataset? | AUC, Log Loss |
What metrics were used to measure the AutoInt model in the AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks paper on the KDD12 dataset? | AUC, Log Loss |
What metrics were used to measure the STEC model in the STEC: See-Through Transformer-based Encoder for CTR Prediction paper on the MovieLens 1M dataset? | AUC, Accuracy, Log Loss |
What metrics were used to measure the KNI model in the An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation paper on the MovieLens 1M dataset? | AUC, Accuracy, Log Loss |
What metrics were used to measure the RippleNet model in the RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems paper on the MovieLens 1M dataset? | AUC, Accuracy, Log Loss |
What metrics were used to measure the MKR model in the Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation paper on the MovieLens 1M dataset? | AUC, Accuracy, Log Loss |
What metrics were used to measure the AutoInt model in the AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks paper on the MovieLens 1M dataset? | AUC, Accuracy, Log Loss |
What metrics were used to measure the MKR model in the Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation paper on the Children's Book Test Common noun dataset? | AUC, Accuracy |
What metrics were used to measure the NormDNN model in the Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction paper on the Android Malware Dataset dataset? | AUC |
What metrics were used to measure the FinalMLP model in the FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction paper on the MovieLens dataset? | AUC |
What metrics were used to measure the AFN+ model in the Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions paper on the MovieLens dataset? | AUC |
What metrics were used to measure the DSTN-I model in the Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction paper on the Avito dataset? | AUC, Log Loss |
What metrics were used to measure the DeepMCP model in the Representation Learning-Assisted Click-Through Rate Prediction paper on the Avito dataset? | AUC, Log Loss |
What metrics were used to measure the KGCN-concat model in the Knowledge Graph Convolutional Networks for Recommender Systems paper on the Last.FM dataset? | AUC, Accuracy, F1 |
What metrics were used to measure the MKR model in the Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation paper on the Last.FM dataset? | AUC, Accuracy, F1 |
What metrics were used to measure the FinalMLP model in the FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction paper on the Frappe dataset? | AUC |
What metrics were used to measure the FinalMLP + MMBAttn model in the MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction paper on the Frappe dataset? | AUC |
What metrics were used to measure the DNN + MMBAttn model in the MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction paper on the Frappe dataset? | AUC |
What metrics were used to measure the AFN+ model in the Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions paper on the Frappe dataset? | AUC |
What metrics were used to measure the KGCN-sum model in the Knowledge Graph Convolutional Networks for Recommender Systems paper on the Book-Crossing dataset? | AUC, Accuracy, F1 |
What metrics were used to measure the RippleNet model in the RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems paper on the Book-Crossing dataset? | AUC, Accuracy, F1 |
What metrics were used to measure the Fi-GNN model in the Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the OptInter model in the Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction paper on the Avazu dataset? | AUC, LogLoss |
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