prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the MMD-D model in the Learning Deep Kernels for Non-Parametric Two-Sample Tests paper on the Blob (9 modes, 40 for each) dataset? | Avg accuracy |
What metrics were used to measure the MMD-D model in the Learning Deep Kernels for Non-Parametric Two-Sample Tests paper on the HIGGS Data Set dataset? | Avg accuracy |
What metrics were used to measure the MMD-D model in the Learning Deep Kernels for Non-Parametric Two-Sample Tests paper on the CIFAR-10 vs CIFAR-10.1 (1000 samples) dataset? | Avg accuracy |
What metrics were used to measure the MMD-D model in the Learning Deep Kernels for Non-Parametric Two-Sample Tests paper on the MNIST vs Fake MNIST dataset? | Avg accuracy |
What metrics were used to measure the MMD-D model in the Learning Deep Kernels for Non-Parametric Two-Sample Tests paper on the HDGM (d=10, N=4000) dataset? | Avg accuracy |
What metrics were used to measure the GesturePod model in the GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users paper on the GesturePod dataset? | Real World Accuracy |
What metrics were used to measure the 2SRNN model in the Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks paper on the Ninapro DB-1 12 gestures dataset? | Accuracy |
What metrics were used to measure the 3S Net TTM model in the Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module paper on the ChaLearn 2016 dataset? | Accuracy |
What metrics were used to measure the Temp Conv + LSTM model in the Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video paper on the Montalbano dataset? | Error rate, Jaccard (Mean), Precision, Recall |
What metrics were used to measure the 2SRNN model in the Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks paper on the CapgMyo DB-a dataset? | Accuracy |
What metrics were used to measure the mMND (BPTT) model in the Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods paper on the DVS128 Gesture dataset? | Accuracy (%) |
What metrics were used to measure the EGRU model in the Efficient recurrent architectures through activity sparsity and sparse back-propagation through time paper on the DVS128 Gesture dataset? | Accuracy (%) |
What metrics were used to measure the AlexNet+LSTM model in the Temporal Binary Representation for Event-Based Action Recognition paper on the DVS128 Gesture dataset? | Accuracy (%) |
What metrics were used to measure the OTTT model in the Online Training Through Time for Spiking Neural Networks paper on the DVS128 Gesture dataset? | Accuracy (%) |
What metrics were used to measure the STS-ResNet model in the Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction paper on the DVS128 Gesture dataset? | Accuracy (%) |
What metrics were used to measure the mMND (STDP) model in the Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods paper on the DVS128 Gesture dataset? | Accuracy (%) |
What metrics were used to measure the DVSNet model in the Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks paper on the DVS128 Gesture dataset? | Accuracy (%) |
What metrics were used to measure the LSTM model in the Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences paper on the DVS128 Gesture dataset? | Accuracy (%) |
What metrics were used to measure the 3S Net TTM model in the Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module paper on the ChaLearn 2013 dataset? | Accuracy |
What metrics were used to measure the 3D-CNN + LSTM model in the Learning Deep and Compact Models for Gesture Recognition paper on the Chalearn 2014 dataset? | Accuracy |
What metrics were used to measure the 2SRNN model in the Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks paper on the CapgMyo DB-c dataset? | Accuracy |
What metrics were used to measure the 2SRNN model in the Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks paper on the Ninapro DB-1 8 gestures dataset? | Accuracy |
What metrics were used to measure the PointLSTM model in the An Efficient PointLSTM for Point Clouds Based Gesture Recognition paper on the SHREC 2017 track on 3D Hand Gesture Recognition dataset? | 14 gestures accuracy |
What metrics were used to measure the 3S Net TTM model in the Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module paper on the MSRC-12 dataset? | Accuracy |
What metrics were used to measure the 2SRNN model in the Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks paper on the CapgMyo DB-b dataset? | Accuracy |
What metrics were used to measure the CSVC-Net model in the CSVC-Net: Code-Switched Voice Command Classification using Deep CNN-LSTM Network paper on the Banglish dataset? | Accuracy (%) |
What metrics were used to measure the UniPose model in the UniPose: Detecting Any Keypoints paper on the MacaquePose dataset? | AP |
What metrics were used to measure the UniPose model in the UniPose: Detecting Any Keypoints paper on the Desert Locust dataset? | Mean PCK@0.2 |
What metrics were used to measure the UniHCP (finetune) model in the UniHCP: A Unified Model for Human-Centric Perceptions paper on the Human3.6M dataset? | EPE |
What metrics were used to measure the UniPose model in the UniPose: Detecting Any Keypoints paper on the Animal Kingdom dataset? | Mean PCK@0.2, PCK@0.05 |
What metrics were used to measure the UniPose model in the UniPose: Detecting Any Keypoints paper on the 300W dataset? | Mean PCK@0.2 |
What metrics were used to measure the UniPose model in the UniPose: Detecting Any Keypoints paper on the Vinegar Fly dataset? | Mean PCK@0.2 |
What metrics were used to measure the H-LSTCM model in the Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition paper on the UT dataset? | Accuracy |
What metrics were used to measure the Co-LSTSM model in the Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition paper on the UT dataset? | Accuracy |
What metrics were used to measure the Raptis et al. model in the Poselet Key-Framing: A Model for Human Activity Recognition paper on the UT dataset? | Accuracy |
What metrics were used to measure the Donahue et al. model in the Long-term Recurrent Convolutional Networks for Visual Recognition and Description paper on the UT dataset? | Accuracy |
What metrics were used to measure the ISTA-Net model in the Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the LSTM-IRN'fc1inter+intra model in the Interaction Relational Network for Mutual Action Recognition paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the LSTM-IRN'fc1inter+intra model in the Interaction Relational Network for Mutual Action Recognition paper on the NTU RGB+D dataset? | Accuracy (Cross-Subject), Accuracy (Cross-View) |
What metrics were used to measure the Slow-Fast(Finetune by Fivewin team) model in the Slow-Fast Auditory Streams For Audio Recognition paper on the EPIC-SOUNDS dataset? | Top-1 accuracy % |
What metrics were used to measure the ISTA-Net model in the Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition paper on the SBU dataset? | Accuracy |
What metrics were used to measure the LSTM-IRN'fc1inter+intra model in the Interaction Relational Network for Mutual Action Recognition paper on the SBU dataset? | Accuracy |
What metrics were used to measure the LSTM-IRN'fc1inter+intra model in the Interaction Relational Network for Mutual Action Recognition paper on the UT-Interaction dataset? | Accuracy (Set 1), Accuracy (Set 2) |
What metrics were used to measure the H-LSTCM model in the Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition paper on the BIT dataset? | Accuracy |
What metrics were used to measure the Co-LSTSM model in the Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition paper on the BIT dataset? | Accuracy |
What metrics were used to measure the Donahue et al. model in the Long-term Recurrent Convolutional Networks for Visual Recognition and Description paper on the BIT dataset? | Accuracy |
What metrics were used to measure the Ensemble Modeling model in the Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling paper on the Essays dataset? | Accuracy, F-Measure, Precision, Recall |
What metrics were used to measure the Ontology-Based model in the Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling paper on the Essays dataset? | Accuracy, F-Measure, Precision, Recall |
What metrics were used to measure the BoningKnife model in the BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge paper on the ACE 2004 dataset? | F1 |
What metrics were used to measure the BERT-MRC model in the A Unified MRC Framework for Named Entity Recognition paper on the ACE 2004 dataset? | F1 |
What metrics were used to measure the Second-best learning and decoding model in the Nested Named Entity Recognition via Second-best Sequence Learning and Decoding paper on the ACE 2004 dataset? | F1 |
What metrics were used to measure the seq2seq+BERT+Flair model in the Neural Architectures for Nested NER through Linearization paper on the ACE 2004 dataset? | F1 |
What metrics were used to measure the MGNER model in the Multi-Grained Named Entity Recognition paper on the ACE 2004 dataset? | F1 |
What metrics were used to measure the Neural segmental hypergraphs model in the Neural Segmental Hypergraphs for Overlapping Mention Recognition paper on the ACE 2004 dataset? | F1 |
What metrics were used to measure the Neural transition-based model model in the A Neural Transition-based Model for Nested Mention Recognition paper on the ACE 2004 dataset? | F1 |
What metrics were used to measure the BoningKnife model in the BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the Second-best learning and decoding model in the Nested Named Entity Recognition via Second-best Sequence Learning and Decoding paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the seq2seq+BERT+Flair model in the Neural Architectures for Nested NER through Linearization paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the Merge and Label model in the Merge and Label: A novel neural network architecture for nested NER paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the MGNER model in the Multi-Grained Named Entity Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the BiFlaG model in the Bipartite Flat-Graph Network for Nested Named Entity Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the Anchor-Region Networks model in the Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the Neural segmental hypergraphs model in the Neural Segmental Hypergraphs for Overlapping Mention Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the Neural transition-based model model in the A Neural Transition-based Model for Nested Mention Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the Neural layered model model in the A Neural Layered Model for Nested Named Entity Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the Convolutional Neural Network with per-label Attention model in the Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes paper on the MIMIC-III dataset? | Micro F1 |
What metrics were used to measure the CB-NTR model in the Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution paper on the Reuters-21578 dataset? | Micro-F1 |
What metrics were used to measure the NTR-FL model in the Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution paper on the Reuters-21578 dataset? | Micro-F1 |
What metrics were used to measure the DB model in the Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution paper on the Reuters-21578 dataset? | Micro-F1 |
What metrics were used to measure the MAGNET model in the MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network paper on the Reuters-21578 dataset? | Micro-F1 |
What metrics were used to measure the CNLE model in the Co-attention network with label embedding for text classification paper on the Reuters-21578 dataset? | Micro-F1 |
What metrics were used to measure the VLAWE model in the Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation paper on the Reuters-21578 dataset? | Micro-F1 |
What metrics were used to measure the HiddeN model in the Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification paper on the RCV1 dataset? | Macro-F1, Micro-F1 |
What metrics were used to measure the LAHA model in the Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification paper on the Amazon-12K dataset? | P@1, P@3, P@5, nDCG@3, nDCG@5 |
What metrics were used to measure the TagBERT model in the Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique paper on the Freecode dataset? | F1-score |
What metrics were used to measure the TagCNN model in the Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique paper on the Freecode dataset? | F1-score |
What metrics were used to measure the TagMulRec model in the Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique paper on the Freecode dataset? | F1-score |
What metrics were used to measure the EnTagRec model in the Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique paper on the Freecode dataset? | F1-score |
What metrics were used to measure the FastTagRec model in the Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique paper on the Freecode dataset? | F1-score |
What metrics were used to measure the BERT model in the PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model paper on the USPTO-3M dataset? | F1 |
What metrics were used to measure the D2SBERT using Sequence Attention model in the Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence Attention paper on the MIMIC-III-50 dataset? | Micro-F1 |
What metrics were used to measure the HLAN model in the Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation paper on the MIMIC-III-50 dataset? | Micro-F1 |
What metrics were used to measure the LAHA model in the Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification paper on the Wiki-30K dataset? | P@1, P@3, P@5, nDCG@3, nDCG@5 |
What metrics were used to measure the LSAN model in the Label-Specific Document Representation for Multi-Label Text Classification paper on the AAPD dataset? | P@1, P@3, P@5, nDCG@3, nDCG@5, F1, Micro F1 |
What metrics were used to measure the LAHA model in the Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification paper on the AAPD dataset? | P@1, P@3, P@5, nDCG@3, nDCG@5, F1, Micro F1 |
What metrics were used to measure the MAGNET model in the MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network paper on the AAPD dataset? | P@1, P@3, P@5, nDCG@3, nDCG@5, F1, Micro F1 |
What metrics were used to measure the LW-PT model in the Label-Wise Document Pre-Training for Multi-Label Text Classification paper on the AAPD dataset? | P@1, P@3, P@5, nDCG@3, nDCG@5, F1, Micro F1 |
What metrics were used to measure the CNLE model in the Co-attention network with label embedding for text classification paper on the AAPD dataset? | P@1, P@3, P@5, nDCG@3, nDCG@5, F1, Micro F1 |
What metrics were used to measure the ECLARE model in the ECLARE: Extreme Classification with Label Graph Correlations paper on the LF-AmzonTitles-131K dataset? | Precision@1 |
What metrics were used to measure the bert-base model in the Large-Scale Multi-Label Text Classification on EU Legislation paper on the EUR-Lex dataset? | P@5, nDCG@5, P@1, P@3, nDCG@3, Micro F1, RP@5, nDCG@1 |
What metrics were used to measure the NLP-Cap model in the Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications paper on the EUR-Lex dataset? | P@5, nDCG@5, P@1, P@3, nDCG@3, Micro F1, RP@5, nDCG@1 |
What metrics were used to measure the LAHA model in the Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification paper on the EUR-Lex dataset? | P@5, nDCG@5, P@1, P@3, nDCG@3, Micro F1, RP@5, nDCG@1 |
What metrics were used to measure the HLAN model in the Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation paper on the MIMIC-III dataset? | AUC, Macro F1, Macro Precision, Macro Recall, Micro Precision, Micro Recall, Micro-F1, P@5, Precision, Recall |
What metrics were used to measure the HAN model in the Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation paper on the MIMIC-III dataset? | AUC, Macro F1, Macro Precision, Macro Recall, Micro Precision, Micro Recall, Micro-F1, P@5, Precision, Recall |
What metrics were used to measure the Feed-forward NN model in the An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes paper on the MIMIC-III dataset? | AUC, Macro F1, Macro Precision, Macro Recall, Micro Precision, Micro Recall, Micro-F1, P@5, Precision, Recall |
What metrics were used to measure the Bert model in the Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China paper on the Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China dataset? | 1:1 Accuracy, F1 - macro, Micro F1 |
What metrics were used to measure the XGBoost model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the BVICTOR dataset? | Average F1, Weighted F1 |
What metrics were used to measure the SVM model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the BVICTOR dataset? | Average F1, Weighted F1 |
What metrics were used to measure the NB model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the BVICTOR dataset? | Average F1, Weighted F1 |
What metrics were used to measure the MAGNET model in the MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network paper on the RCV1-v2 dataset? | Micro-F1 |
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