prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Trankit model in the Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing paper on the UD2.5 test dataset? | Macro-averaged F1 |
What metrics were used to measure the Stanza model in the Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing paper on the UD2.5 test dataset? | Macro-averaged F1 |
What metrics were used to measure the XBNET model in the XBNet : An Extremely Boosted Neural Network paper on the iris dataset? | Accuracy |
What metrics were used to measure the MONT3 model in the Multi-Objective Optimisation of Multi-Output Neural Trees paper on the iris dataset? | Accuracy |
What metrics were used to measure the CAE model in the Concrete Autoencoders for Differentiable Feature Selection and Reconstruction paper on the Fashion-MNIST dataset? | Accuracy |
What metrics were used to measure the CAE model in the Concrete Autoencoders for Differentiable Feature Selection and Reconstruction paper on the Mice Protein dataset? | Accuracy |
What metrics were used to measure the CAE model in the Concrete Autoencoders for Differentiable Feature Selection and Reconstruction paper on the MNIST dataset? | Accuracy |
What metrics were used to measure the V2W-BERT model in the V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities paper on the CVE to CWE mapping dataset? | 5 fold cross validation |
What metrics were used to measure the CAE model in the Concrete Autoencoders for Differentiable Feature Selection and Reconstruction paper on the Activity dataset? | Accuracy |
What metrics were used to measure the CatBoost model in the Hopular: Modern Hopfield Networks for Tabular Data paper on the Shrutime dataset? | Accuracy |
What metrics were used to measure the LightGBM model in the Hopular: Modern Hopfield Networks for Tabular Data paper on the Shrutime dataset? | Accuracy |
What metrics were used to measure the Hopular model in the Hopular: Modern Hopfield Networks for Tabular Data paper on the Shrutime dataset? | Accuracy |
What metrics were used to measure the NPTs model in the Hopular: Modern Hopfield Networks for Tabular Data paper on the Shrutime dataset? | Accuracy |
What metrics were used to measure the XGBoost model in the Hopular: Modern Hopfield Networks for Tabular Data paper on the Shrutime dataset? | Accuracy |
What metrics were used to measure the KNN model in the SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure paper on the XOR dataset? | Accuracy |
What metrics were used to measure the RF model in the SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure paper on the XOR dataset? | Accuracy |
What metrics were used to measure the CART model in the SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure paper on the XOR dataset? | Accuracy |
What metrics were used to measure the LDA model in the SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure paper on the XOR dataset? | Accuracy |
What metrics were used to measure the CAE model in the Concrete Autoencoders for Differentiable Feature Selection and Reconstruction paper on the ISOLET dataset? | Accuracy |
What metrics were used to measure the MONT3 model in the Multi-Objective Optimisation of Multi-Output Neural Trees paper on the Wine dataset? | Accuracy |
What metrics were used to measure the Decision Trees model in the Missing Data Imputation for Supervised Learning paper on the CVR dataset? | Test error |
What metrics were used to measure the AST-S model in the AST: Audio Spectrogram Transformer paper on the Speech Commands dataset? | Accuracy |
What metrics were used to measure the PDC model in the Augmenting Deep Classifiers with Polynomial Neural Networks paper on the Speech Commands dataset? | Accuracy |
What metrics were used to measure the ERANN-0-4 model in the ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition paper on the RAVDESS dataset? | Top-1 Accuracy |
What metrics were used to measure the ONE-PEACE (Audio-Visual) model in the ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the MAViL model in the MAViL: Masked Audio-Video Learners paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the MMT (Audio-Visual) model in the Multiscale Multimodal Transformer for Multimodal Action Recognition paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the CAV-MAE (Audio-Visual) model in the Contrastive Audio-Visual Masked Autoencoder paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the UAVM (Audio + Video) model in the UAVM: Towards Unifying Audio and Visual Models paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the Audiovisual Masked Autoencoder (Audiovisual, Single) model in the Audiovisual Masked Autoencoders paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the AVT (Audio-Visual) model in the AVT: Audio-Video Transformer for Multimodal Action Recognition paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the ONE-PEACE (Audio-Only) model in the ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the CAV-MAE (Audio-Only) model in the Contrastive Audio-Visual Masked Autoencoder paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the Audiovisual Masked Autoencoder
(Audio-only, Single) model in the Audiovisual Masked Autoencoders paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the MAST (Audio Only) model in the Multiscale Audio Spectrogram Transformer for Efficient Audio Classification paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the UAVM (Audio Only) model in the UAVM: Towards Unifying Audio and Visual Models paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the MMT (Video) model in the Multiscale Multimodal Transformer for Multimodal Action Recognition paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the PlayItBackX3 model in the Play It Back: Iterative Attention for Audio Recognition paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the AVT (V) model in the AVT: Audio-Video Transformer for Multimodal Action Recognition paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the MBT (A) model in the Attention Bottlenecks for Multimodal Fusion paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the MBT (V) model in the Attention Bottlenecks for Multimodal Fusion paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the UAVM (Video Only) model in the UAVM: Towards Unifying Audio and Visual Models paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the MBT (AV) model in the Attention Bottlenecks for Multimodal Fusion paper on the VGGSound dataset? | Top 1 Accuracy, Top 5 Accuracy, Mean AP, AUC, d-prime |
What metrics were used to measure the VocalSound Baseline model in the Vocalsound: A Dataset for Improving Human Vocal Sounds Recognition paper on the VocalSound dataset? | Accuracy |
What metrics were used to measure the BEATs model in the BEATs: Audio Pre-Training with Acoustic Tokenizers paper on the Balanced Audio Set dataset? | Mean AP |
What metrics were used to measure the Base (ours) model in the ATST: Audio Representation Learning with Teacher-Student Transformer paper on the Balanced Audio Set dataset? | Mean AP |
What metrics were used to measure the SSAST-PATCH model in the SSAST: Self-Supervised Audio Spectrogram Transformer paper on the Balanced Audio Set dataset? | Mean AP |
What metrics were used to measure the SSAST-FRAME model in the SSAST: Self-Supervised Audio Spectrogram Transformer paper on the Balanced Audio Set dataset? | Mean AP |
What metrics were used to measure the Conformer model in the Conformer-Based Self-Supervised Learning for Non-Speech Audio Tasks paper on the Balanced Audio Set dataset? | Mean AP |
What metrics were used to measure the CDIL model in the Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks paper on the UCR Time Series Classification Archive dataset? | FruitFlies, MosquitoSound, RightWhaleCalls |
What metrics were used to measure the Audiovisual Masked Autoencoder
(Audiovisual, Single) model in the Audiovisual Masked Autoencoders paper on the EPIC-KITCHENS-100 dataset? | Top-1 Action, Top-1 Noun, Top-1 Verb, Top-5 Action, Top-5 Noun, Top-5 Verb |
What metrics were used to measure the Audiovisual Masked Autoencoder
(Video-only, Single) model in the Audiovisual Masked Autoencoders paper on the EPIC-KITCHENS-100 dataset? | Top-1 Action, Top-1 Noun, Top-1 Verb, Top-5 Action, Top-5 Noun, Top-5 Verb |
What metrics were used to measure the Audiovisual Masked Autoencoder
(Audio-only, Single) model in the Audiovisual Masked Autoencoders paper on the EPIC-KITCHENS-100 dataset? | Top-1 Action, Top-1 Noun, Top-1 Verb, Top-5 Action, Top-5 Noun, Top-5 Verb |
What metrics were used to measure the PlayItBackX3 model in the Play It Back: Iterative Attention for Audio Recognition paper on the EPIC-KITCHENS-100 dataset? | Top-1 Action, Top-1 Noun, Top-1 Verb, Top-5 Action, Top-5 Noun, Top-5 Verb |
What metrics were used to measure the Audio model in the Piano Skills Assessment paper on the Multimodal PISA dataset? | Accuracy (%) |
What metrics were used to measure the CrissCross (AudioSet) model in the Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity paper on the DCASE dataset? | Top-1 Accuracy, PRE-TRAINING DATASET |
What metrics were used to measure the CrissCross (Kinetics-400) model in the Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity paper on the DCASE dataset? | Top-1 Accuracy, PRE-TRAINING DATASET |
What metrics were used to measure the XDC model in the Self-Supervised Learning by Cross-Modal Audio-Video Clustering paper on the DCASE dataset? | Top-1 Accuracy, PRE-TRAINING DATASET |
What metrics were used to measure the XDC model in the Self-Supervised Learning by Cross-Modal Audio-Video Clustering paper on the DCASE dataset? | Top-1 Accuracy, PRE-TRAINING DATASET |
What metrics were used to measure the CrissCross (Kinetics-Sound) model in the Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity paper on the DCASE dataset? | Top-1 Accuracy, PRE-TRAINING DATASET |
What metrics were used to measure the SNN with Dilated Convolution with Learnable Spacings model in the Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings paper on the SSC dataset? | Accuracy |
What metrics were used to measure the RadLIF model in the A surrogate gradient spiking baseline for speech command recognition paper on the SSC dataset? | Accuracy |
What metrics were used to measure the SpikGRU model in the Investigating current-based and gating approaches for accurate and energy-efficient spiking recurrent neural networks paper on the SSC dataset? | Accuracy |
What metrics were used to measure the Adaptive SRNN model in the Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks paper on the SSC dataset? | Accuracy |
What metrics were used to measure the ONE-PEACE model in the ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities paper on the FSD50K dataset? | mAP |
What metrics were used to measure the MN model in the Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models paper on the FSD50K dataset? | mAP |
What metrics were used to measure the PaSST-S model in the Efficient Training of Audio Transformers with Patchout paper on the FSD50K dataset? | mAP |
What metrics were used to measure the DyMN-L model in the Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models paper on the FSD50K dataset? | mAP |
What metrics were used to measure the PaSST-N-S model in the Efficient Training of Audio Transformers with Patchout paper on the FSD50K dataset? | mAP |
What metrics were used to measure the PSLA model in the PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation paper on the FSD50K dataset? | mAP |
What metrics were used to measure the Temporal Knowledge Distillation for On-device Audio Classification model in the Temporal Knowledge Distillation for On-device Audio Classification paper on the FSD50K dataset? | mAP |
What metrics were used to measure the Large 6-Layer Transformer with Pooling model in the Audio Transformers:Transformer Architectures For Large Scale Audio Understanding. Adieu Convolutions paper on the FSD50K dataset? | mAP |
What metrics were used to measure the MAViL (Audio-Visual, single) model in the MAViL: Masked Audio-Video Learners paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the Audiovisual Masked Autoencoder (Audiovisual, Single) model in the Audiovisual Masked Autoencoders paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the CAV-MAE (Audio-Visual) model in the Contrastive Audio-Visual Masked Autoencoder paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the BEATs (Audio-only, Ensemble) model in the BEATs: Audio Pre-Training with Acoustic Tokenizers paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the UAVM (Audio + Video) model in the UAVM: Towards Unifying Audio and Visual Models paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the mn40_as (Ensemble) model in the Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge Distillation paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the ATST-C2F(Single) model in the Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the MBT (AS-500K training + Video) model in the Attention Bottlenecks for Multimodal Fusion paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the PaSST (Ensemble) model in the Efficient Training of Audio Transformers with Patchout paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the DyMN-L (Audio-Only, Single) model in the Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the HTS-AT (Ensemble) model in the HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the BEATs (Audio-only, Single) model in the BEATs: Audio Pre-Training with Acoustic Tokenizers paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the AST (Ensemble) model in the AST: Audio Spectrogram Transformer paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the MAViL (Audio-only, single) model in the MAViL: Masked Audio-Video Learners paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the mn40_as (Single) model in the Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge Distillation paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the ATST-Frame model in the Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the PlayItBackX3 model in the Play It Back: Iterative Attention for Audio Recognition paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the PSLA (Ensemble) model in the PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the Audio-MAE (Audio-only, single) model in the Masked Autoencoders that Listen paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the HTS-AT (Single) model in the HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the PaSST-S (Single) model in the Efficient Training of Audio Transformers with Patchout paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the MaskSpec (AS-2M) model in the paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the CAV-MAE (Audio-Only) model in the Contrastive Audio-Visual Masked Autoencoder paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the Audiovisual Masked Autoencoder (Audio-only, Single) model in the Audiovisual Masked Autoencoders paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the AudioVisual Fusion Net model in the Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the AST (Single) model in the AST: Audio Spectrogram Transformer paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the ERANN-1-6 model in the ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the Perceiver model in the Perceiver: General Perception with Iterative Attention paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
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