prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the PretrainGNN model in the Strategies for Pre-training Graph Neural Networks paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the MolXPT model in the MolXPT: Wrapping Molecules with Text for Generative Pre-training paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the N-GramXGB model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the N-GramRF model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the GROVER (base) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the GROVER (large) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the GAL 120B model in the Galactica: A Large Language Model for Science paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the GAL 30B model in the Galactica: A Large Language Model for Science paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the GAL 6.7B model in the Galactica: A Large Language Model for Science paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the GAL 1.3B model in the Galactica: A Large Language Model for Science paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the GAL 125M model in the Galactica: A Large Language Model for Science paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the MolXPT model in the MolXPT: Wrapping Molecules with Text for Generative Pre-training paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the N-GramRF model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the N-GramXGB model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the GROVER (large) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the GROVER (base) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the SPMM model in the Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the GAL 120B model in the Galactica: A Large Language Model for Science paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the PretrainGNN model in the Strategies for Pre-training Graph Neural Networks paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the GAL 30B model in the Galactica: A Large Language Model for Science paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the GAL 125M model in the Galactica: A Large Language Model for Science paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the GAL 6.7B model in the Galactica: A Large Language Model for Science paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the GAL 1.3B model in the Galactica: A Large Language Model for Science paper on the SIDER dataset? | ROC-AUC |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the QM9 dataset? | MAE |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the QM9 dataset? | MAE |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the QM9 dataset? | MAE |
What metrics were used to measure the PretrainGNN model in the Strategies for Pre-training Graph Neural Networks paper on the QM9 dataset? | MAE |
What metrics were used to measure the N-GramXGB model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the QM9 dataset? | MAE |
What metrics were used to measure the GROVER (base) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the QM9 dataset? | MAE |
What metrics were used to measure the GROVER (large) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the QM9 dataset? | MAE |
What metrics were used to measure the N-GramRF model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the QM9 dataset? | MAE |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the PCBA dataset? | ROC-AUC |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the QM8 dataset? | MAE |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the QM8 dataset? | MAE |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the QM8 dataset? | MAE |
What metrics were used to measure the PretrainGNN model in the Strategies for Pre-training Graph Neural Networks paper on the QM8 dataset? | MAE |
What metrics were used to measure the N-GramXGB model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the QM8 dataset? | MAE |
What metrics were used to measure the GROVER (base) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the QM8 dataset? | MAE |
What metrics were used to measure the GROVER (large) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the QM8 dataset? | MAE |
What metrics were used to measure the N-GramRF model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the QM8 dataset? | MAE |
What metrics were used to measure the DVMP model in the Dual-view Molecule Pre-training paper on the HIV dataset dataset? | AUC |
What metrics were used to measure the Uni-Mol model in the Galactica: A Large Language Model for Science paper on the HIV dataset dataset? | AUC |
What metrics were used to measure the ChemBERTa-2 Fine-tuned model in the ChemBERTa-2: Fine-Tuning for Molecule’s HIV Replication Inhibition Prediction paper on the HIV dataset dataset? | AUC |
What metrics were used to measure the MolXPT model in the MolXPT: Wrapping Molecules with Text for Generative Pre-training paper on the HIV dataset dataset? | AUC |
What metrics were used to measure the GAL 30B model in the Galactica: A Large Language Model for Science paper on the HIV dataset dataset? | AUC |
What metrics were used to measure the GAL 120B model in the Galactica: A Large Language Model for Science paper on the HIV dataset dataset? | AUC |
What metrics were used to measure the GAL 1.3B model in the Galactica: A Large Language Model for Science paper on the HIV dataset dataset? | AUC |
What metrics were used to measure the GAL 6.7B model in the Galactica: A Large Language Model for Science paper on the HIV dataset dataset? | AUC |
What metrics were used to measure the GAL 125M model in the Galactica: A Large Language Model for Science paper on the HIV dataset dataset? | AUC |
What metrics were used to measure the BAVARDAGE model in the Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the \alpha-TIM model in the Realistic Evaluation of Transductive Few-Shot Learning paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the Laplacian-Shot model in the Laplacian Regularized Few-Shot Learning paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the BDCSPN model in the Prototype Rectification for Few-Shot Learning paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the Simpleshot model in the SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the Baseline++ model in the A Closer Look at Few-shot Classification paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the Entropy Minimization model in the A Baseline for Few-Shot Image Classification paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the ProtoNet model in the Prototypical Networks for Few-shot Learning paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the LR-ICI model in the Instance Credibility Inference for Few-Shot Learning paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the PT-MAP model in the Leveraging the Feature Distribution in Transfer-based Few-Shot Learning paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the MAML model in the Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the Versa model in the Meta-Learning Probabilistic Inference For Prediction paper on the Dirichlet Mini-Imagenet (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the TIM-GD model in the Transductive Information Maximization For Few-Shot Learning paper on the Mini-Imagenet 20-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Deep Comparison Network model in the RelationNet2: Deep Comparison Columns for Few-Shot Learning paper on the Mini-Imagenet 20-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Meta SGD model in the Meta-SGD: Learning to Learn Quickly for Few-Shot Learning paper on the Mini-Imagenet 20-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Matching Nets, (from ) model in the Meta-SGD: Learning to Learn Quickly for Few-Shot Learning paper on the Mini-Imagenet 20-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Meta LSTM, (from ) model in the Meta-SGD: Learning to Learn Quickly for Few-Shot Learning paper on the Mini-Imagenet 20-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MAML, (from ) model in the Meta-SGD: Learning to Learn Quickly for Few-Shot Learning paper on the Mini-Imagenet 20-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the APL model in the Adaptive Posterior Learning: few-shot learning with a surprise-based memory module paper on the OMNIGLOT - 5-Shot, 1000 way dataset? | Accuracy |
What metrics were used to measure the EASY 3xResNet12 (transductive) model in the EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients paper on the CUB 200 5-way dataset? | Accuracy |
What metrics were used to measure the BAVARDAGE model in the Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification paper on the Dirichlet Tiered-Imagenet (5-way, 1-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the LR+ICI model in the Instance Credibility Inference for Few-Shot Learning paper on the Dirichlet Tiered-Imagenet (5-way, 1-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the \alpha-TIM model in the Realistic Evaluation of Transductive Few-Shot Learning paper on the Dirichlet Tiered-Imagenet (5-way, 1-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the BDCSPN model in the Prototype Rectification for Few-Shot Learning paper on the Dirichlet Tiered-Imagenet (5-way, 1-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the Laplacian-Shot model in the Laplacian Regularized Few-Shot Learning paper on the Dirichlet Tiered-Imagenet (5-way, 1-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the Simpleshot model in the SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning paper on the Dirichlet Tiered-Imagenet (5-way, 1-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the Baseline++ model in the A Closer Look at Few-shot Classification paper on the Dirichlet Tiered-Imagenet (5-way, 1-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the PT-MAP model in the Leveraging the Feature Distribution in Transfer-based Few-Shot Learning paper on the Dirichlet Tiered-Imagenet (5-way, 1-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the Entropy Minimization model in the A Baseline for Few-Shot Image Classification paper on the Dirichlet Tiered-Imagenet (5-way, 1-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the P>M>F (P=DINO-ViT-base, M=ProtoNet) model in the Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the TSA (ResNet18, URL, residual adapters, 84x84 image, shuffled data, scratch, MDL) model in the Cross-domain Few-shot Learning with Task-specific Adapters paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the UpperCaSE-EfficientNetB0 model in the Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the URL (ResNet18, 84x84 image, shuffled data, scratch, MDL) model in the Universal Representation Learning from Multiple Domains for Few-shot Classification paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the UpperCaSE-ResNet50 model in the Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the URT+MQDA model in the Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the URT model in the A Universal Representation Transformer Layer for Few-Shot Image Classification paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the SUR model in the Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the Transductive CNAPS model in the Enhancing Few-Shot Image Classification with Unlabelled Examples paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the Simple CNAPS model in the Improved Few-Shot Visual Classification paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the SUR-pnf model in the Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the Invariance-Equivariance model in the Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the CNAPs model in the Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the fo-Proto-MAML model in the Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the Prototypical Networks model in the Prototypical Networks for Few-shot Learning paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the Finetune model in the Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the fo-MAML model in the Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks paper on the Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the Matching Networks model in the Matching Networks for One Shot Learning paper on the Meta-Dataset dataset? | Accuracy |
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