prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the MedAIR model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Average AD-Accuracy |
What metrics were used to measure the Audio-visual DDA model in the Looking At The Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress paper on the Well-being Dataset dataset? | F1-score |
What metrics were used to measure the MP-DQN model in the Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces paper on the Robot Soccer Goal dataset? | Goal Probability |
What metrics were used to measure the Hybrid SAC model in the Discrete and Continuous Action Representation for Practical RL in Video Games paper on the Robot Soccer Goal dataset? | Goal Probability |
What metrics were used to measure the MP-DQN model in the Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces paper on the Platform dataset? | Return |
What metrics were used to measure the Hybrid SAC model in the Discrete and Continuous Action Representation for Practical RL in Video Games paper on the Platform dataset? | Return |
What metrics were used to measure the MP-DQN model in the Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces paper on the Half Field Offence dataset? | Goal Probability |
What metrics were used to measure the Hybrid SAC model in the Discrete and Continuous Action Representation for Practical RL in Video Games paper on the Half Field Offence dataset? | Goal Probability |
What metrics were used to measure the DualQSELD-TCN (parallel) model in the Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation paper on the L3DAS21 dataset? | SELD score |
What metrics were used to measure the AVC-FillerNet model in the Filler Word Detection and Classification: A Dataset and Benchmark paper on the PodcastFillers dataset? | event-based F1 score |
What metrics were used to measure the VC-FillerNet model in the Filler Word Detection and Classification: A Dataset and Benchmark paper on the PodcastFillers dataset? | event-based F1 score |
What metrics were used to measure the SALSA-FOA model in the SALSA: Spatial Cue-Augmented Log-Spectrogram Features for Polyphonic Sound Event Localization and Detection paper on the TAU-NIGENS Spatial Sound Events 2021 dataset? | ER≤20°, F1≤20°, LE-CD, LR-CD |
What metrics were used to measure the Baseline (FOA) model in the STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events paper on the STARSS22 dataset? | Class-dependent localization error, Class-dependent localization recall, location-dependent F1-score (macro), location-dependent F1-score (micro), Localization-dependent error rate (20°) |
What metrics were used to measure the Baseline (MIC) model in the STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events paper on the STARSS22 dataset? | Class-dependent localization error, Class-dependent localization recall, location-dependent F1-score (macro), location-dependent F1-score (micro), Localization-dependent error rate (20°) |
What metrics were used to measure the CLIP-KIS model in the Marine Video Kit: A New Marine Video Dataset for Content-based Analysis and Retrieval paper on the MVK dataset? | text-to-video Mean Rank |
What metrics were used to measure the DGCNN model in the 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding paper on the 3D AffordanceNet dataset? | AIOU, mAP |
What metrics were used to measure the DGCNN model in the 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding paper on the 3D AffordanceNet Rotate z dataset? | AIOU, mAP |
What metrics were used to measure the DGCNN model in the 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding paper on the 3D AffordanceNet Partial View dataset? | AIOU, mAP |
What metrics were used to measure the DGCNN model in the 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding paper on the 3D AffordanceNet Rotate SO(3) dataset? | AIOU, mAP |
What metrics were used to measure the BOTNet model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the 3BPA dataset? | MAE |
What metrics were used to measure the Allegro model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the 3BPA dataset? | MAE |
What metrics were used to measure the MACE model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the 3BPA dataset? | MAE |
What metrics were used to measure the NequIP model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the 3BPA dataset? | MAE |
What metrics were used to measure the Allegro model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the LiPS20 dataset? | MAE |
What metrics were used to measure the NequIP model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the LiPS20 dataset? | MAE |
What metrics were used to measure the BOTNet model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the LiPS20 dataset? | MAE |
What metrics were used to measure the MACE model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the LiPS20 dataset? | MAE |
What metrics were used to measure the PotNet model in the Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction paper on the Materials Project dataset? | MAE |
What metrics were used to measure the Matformer model in the Periodic Graph Transformers for Crystal Material Property Prediction paper on the Materials Project dataset? | MAE |
What metrics were used to measure the SchNet-edge-update model in the Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials paper on the Materials Project dataset? | MAE |
What metrics were used to measure the MEGNet model in the Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals paper on the Materials Project dataset? | MAE |
What metrics were used to measure the SchNet model in the Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials paper on the Materials Project dataset? | MAE |
What metrics were used to measure the SchNet model in the SchNet - a deep learning architecture for molecules and materials paper on the Materials Project dataset? | MAE |
What metrics were used to measure the CGCNN model in the Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties paper on the Materials Project dataset? | MAE |
What metrics were used to measure the MT-CGCNN model in the MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction paper on the Materials Project dataset? | MAE |
What metrics were used to measure the BOTNet model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Naphthalene dataset? | MAE |
What metrics were used to measure the MACE model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Naphthalene dataset? | MAE |
What metrics were used to measure the Allegro model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Naphthalene dataset? | MAE |
What metrics were used to measure the NequIP model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Naphthalene dataset? | MAE |
What metrics were used to measure the NequIP model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the LiPS dataset? | MAE |
What metrics were used to measure the Allegro model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the LiPS dataset? | MAE |
What metrics were used to measure the MACE model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the LiPS dataset? | MAE |
What metrics were used to measure the BOTNet model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the LiPS dataset? | MAE |
What metrics were used to measure the BOTNet model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Acetylacetone dataset? | MAE |
What metrics were used to measure the MACE model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Acetylacetone dataset? | MAE |
What metrics were used to measure the NequIP model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Acetylacetone dataset? | MAE |
What metrics were used to measure the Allegro model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Acetylacetone dataset? | MAE |
What metrics were used to measure the BOTNet model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the GeTe dataset? | MAE |
What metrics were used to measure the MACE model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the GeTe dataset? | MAE |
What metrics were used to measure the NequIP model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the GeTe dataset? | MAE |
What metrics were used to measure the Allegro model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the GeTe dataset? | MAE |
What metrics were used to measure the MACE model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Salicylic Acid dataset? | MAE |
What metrics were used to measure the BOTNet model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Salicylic Acid dataset? | MAE |
What metrics were used to measure the Allegro model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Salicylic Acid dataset? | MAE |
What metrics were used to measure the NequIP model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Salicylic Acid dataset? | MAE |
What metrics were used to measure the Allegro model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Aspirin dataset? | MAE |
What metrics were used to measure the MACE model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Aspirin dataset? | MAE |
What metrics were used to measure the BOTNet model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Aspirin dataset? | MAE |
What metrics were used to measure the NequIP model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Aspirin dataset? | MAE |
What metrics were used to measure the PotNet model in the Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction paper on the JARVIS-DFT dataset? | MAE |
What metrics were used to measure the Matformer model in the Periodic Graph Transformers for Crystal Material Property Prediction paper on the JARVIS-DFT dataset? | MAE |
What metrics were used to measure the ALIGNN model in the Atomistic Line Graph Neural Network for Improved Materials Property Predictions paper on the JARVIS-DFT dataset? | MAE |
What metrics were used to measure the SchNet model in the SchNet: A continuous-filter convolutional neural network for modeling quantum interactions paper on the JARVIS-DFT dataset? | MAE |
What metrics were used to measure the CGCNN model in the paper on the JARVIS-DFT dataset? | MAE |
What metrics were used to measure the MACE model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Ethanol dataset? | MAE |
What metrics were used to measure the BOTNet model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Ethanol dataset? | MAE |
What metrics were used to measure the Allegro model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Ethanol dataset? | MAE |
What metrics were used to measure the NequIP model in the EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations paper on the Ethanol dataset? | MAE |
What metrics were used to measure the CGNN Ensemble model in the Crystal Graph Neural Networks for Data Mining in Materials Science paper on the OQMD v1.2 dataset? | MAE |
What metrics were used to measure the CGNN-192 model in the Crystal Graph Neural Networks for Data Mining in Materials Science paper on the OQMD v1.2 dataset? | MAE |
What metrics were used to measure the CGNN-160 model in the Crystal Graph Neural Networks for Data Mining in Materials Science paper on the OQMD v1.2 dataset? | MAE |
What metrics were used to measure the CGNN-128 model in the Crystal Graph Neural Networks for Data Mining in Materials Science paper on the OQMD v1.2 dataset? | MAE |
What metrics were used to measure the TensorNet model in the TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials paper on the QM9 dataset? | MAE |
What metrics were used to measure the Wigner Kernels model in the Wigner kernels: body-ordered equivariant machine learning without a basis paper on the QM9 dataset? | MAE |
What metrics were used to measure the PAMNet model in the A universal framework for accurate and efficient geometric deep learning of molecular systems paper on the QM9 dataset? | MAE |
What metrics were used to measure the MXMNet model in the Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures paper on the QM9 dataset? | MAE |
What metrics were used to measure the HMGNN model in the Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties paper on the QM9 dataset? | MAE |
What metrics were used to measure the PhysNet-ens5 model in the PhysNet: A Neural Network for Predicting Energies, Forces, Dipole Moments and Partial Charges paper on the QM9 dataset? | MAE |
What metrics were used to measure the DeepMoleNet model in the Transferable Multi-level Attention Neural Network for Accurate Prediction of Quantum Chemistry Properties via Multi-task Learning paper on the QM9 dataset? | MAE |
What metrics were used to measure the xGPR -- Gaussian process, graph convolution kernel model in the Linear-scaling kernels for protein sequences and small molecules outperform deep learning while providing uncertainty quantitation and improved interpretability paper on the QM9 dataset? | MAE |
What metrics were used to measure the DimeNet model in the Directional Message Passing for Molecular Graphs paper on the QM9 dataset? | MAE |
What metrics were used to measure the PhysNet model in the PhysNet: A Neural Network for Predicting Energies, Forces, Dipole Moments and Partial Charges paper on the QM9 dataset? | MAE |
What metrics were used to measure the MEGNet-Full model in the Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals paper on the QM9 dataset? | MAE |
What metrics were used to measure the SchNet-edge-update model in the Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials paper on the QM9 dataset? | MAE |
What metrics were used to measure the HIP-NN model in the Hierarchical modeling of molecular energies using a deep neural network paper on the QM9 dataset? | MAE |
What metrics were used to measure the MEGNet-simple model in the Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals paper on the QM9 dataset? | MAE |
What metrics were used to measure the ALIGNN model in the Atomistic Line Graph Neural Network for Improved Materials Property Predictions paper on the QM9 dataset? | MAE |
What metrics were used to measure the SchNet model in the Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials paper on the QM9 dataset? | MAE |
What metrics were used to measure the MPNN model in the Neural Message Passing for Quantum Chemistry paper on the QM9 dataset? | MAE |
What metrics were used to measure the HDAD+KRR model in the Machine learning prediction errors better than DFT accuracy paper on the QM9 dataset? | MAE |
What metrics were used to measure the CGNN Full Ensemble model in the OQM9HK: A Large-Scale Graph Dataset for Machine Learning in Materials Science paper on the OQM9HK dataset? | MAE |
What metrics were used to measure the CGNN Trio Ensemble model in the OQM9HK: A Large-Scale Graph Dataset for Machine Learning in Materials Science paper on the OQM9HK dataset? | MAE |
What metrics were used to measure the CGNN model in the OQM9HK: A Large-Scale Graph Dataset for Machine Learning in Materials Science paper on the OQM9HK dataset? | MAE |
What metrics were used to measure the SchNet model in the SchNet: A continuous-filter convolutional neural network for modeling quantum interactions paper on the OQM9HK dataset? | MAE |
What metrics were used to measure the T5_large model in the Investigating Pretrained Language Models for Graph-to-Text Generation paper on the WebNLG (Unseen) dataset? | BLEU, METEOR, chrF++ |
What metrics were used to measure the BART_large model in the Investigating Pretrained Language Models for Graph-to-Text Generation paper on the WebNLG (Unseen) dataset? | BLEU, METEOR, chrF++ |
What metrics were used to measure the T5_large model in the Investigating Pretrained Language Models for Graph-to-Text Generation paper on the WebNLG (Seen) dataset? | BLEU, METEOR, chrF++ |
What metrics were used to measure the BART_large model in the Investigating Pretrained Language Models for Graph-to-Text Generation paper on the WebNLG (Seen) dataset? | BLEU, METEOR, chrF++ |
What metrics were used to measure the JointGT (T5) model in the JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs paper on the WebNLG 2.0 (Constrained) dataset? | BLEU, METEOR, ROUGE |
What metrics were used to measure the T5 model in the JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs paper on the WebNLG 2.0 (Constrained) dataset? | BLEU, METEOR, ROUGE |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.