prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GEN model in the GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection paper on the ImageNet-1K vs ImageNet-O dataset? | FPR95, AUROC |
What metrics were used to measure the DenseNet-BC-100 model in the Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection paper on the CIFAR-10 vs ImageNet (C) dataset? | AUROC |
What metrics were used to measure the ResNet-34 model in the Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection paper on the CIFAR-10 vs ImageNet (C) dataset? | AUROC |
What metrics were used to measure the DenseNet-BC-100 model in the Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection paper on the CIFAR-10 vs Uniform dataset? | AUROC |
What metrics were used to measure the ResNet-34 model in the Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection paper on the CIFAR-10 vs Uniform dataset? | AUROC |
What metrics were used to measure the DHM model in the Deep Hybrid Models for Out-of-Distribution Detection paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the R+ViT finetuned on CIFAR-10 model in the Exploring the Limits of Out-of-Distribution Detection paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the ViT finetuned on CIFAR-10 model in the Exploring the Limits of Out-of-Distribution Detection paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the MLP-Mixer finetuned on CIFAR-10 model in the Exploring the Limits of Out-of-Distribution Detection paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the ZODE-KNN model in the Boosting Out-of-Distribution Detection with Multiple Pre-trained Models paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the OpenHybrid model in the Hybrid Models for Open Set Recognition paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the ERD (ResNet18) model in the Semi-supervised novelty detection using ensembles with regularized disagreement paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the Wide 40-2 + OECC model in the Outlier Exposure with Confidence Control for Out-of-Distribution Detection paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the WRN 40-2 + OE model in the Deep Anomaly Detection with Outlier Exposure paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the Isolation Forest on EfficientNet Softmax values model in the Out-of-Distribution Detection Using Outlier Detection Methods paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the WRN 40-2 + Rotation Prediction model in the Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the WRN 40-2 (MSP Baseline) model in the A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the ResNet + diagonal elements of Gram matrix model in the Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices paper on the CIFAR-10 vs CIFAR-100 dataset? | AUROC, AUPR, FPR95 |
What metrics were used to measure the DenseNet-BC-100 model in the Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection paper on the SVHN vs CIFAR-10 dataset? | AUROC |
What metrics were used to measure the ResNet-34 model in the Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection paper on the SVHN vs CIFAR-10 dataset? | AUROC |
What metrics were used to measure the DenseNet-BC-100 model in the Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection paper on the CIFAR-10 vs LSUN (C) dataset? | AUROC |
What metrics were used to measure the ResNet-34 model in the Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection paper on the CIFAR-10 vs LSUN (C) dataset? | AUROC |
What metrics were used to measure the Massively Multilingual Sentence Embeddings model in the Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond paper on the BUCC French-to-English dataset? | F1 score |
What metrics were used to measure the Multilingual Sentence Embeddings model in the Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings paper on the BUCC French-to-English dataset? | F1 score |
What metrics were used to measure the Monolingual training data model in the Improving Neural Machine Translation Models with Monolingual Data paper on the BUCC French-to-English dataset? | F1 score |
What metrics were used to measure the Massively Multilingual Sentence Embeddings model in the Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond paper on the BUCC Chinese-to-English dataset? | F1 score |
What metrics were used to measure the Massively Multilingual Sentence Embeddings model in the Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond paper on the BUCC Russian-to-English dataset? | F1 score |
What metrics were used to measure the Massively Multilingual Sentence Embeddings model in the Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond paper on the BUCC German-to-English dataset? | F1 score |
What metrics were used to measure the Multilingual Sentence Embeddings model in the Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings paper on the BUCC German-to-English dataset? | F1 score |
What metrics were used to measure the Monolingual training data model in the Improving Neural Machine Translation Models with Monolingual Data paper on the BUCC German-to-English dataset? | F1 score |
What metrics were used to measure the BERT-pair-NLI-B model in the Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence paper on the SemEval 2014 Task 4 Subtask 3 dataset? | F1 score, Precision, Recall |
What metrics were used to measure the CAt model in the Embarrassingly Simple Unsupervised Aspect Extraction paper on the Citysearch dataset? | F-measure (%) |
What metrics were used to measure the Baseline model in the AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation paper on the AWARE dataset? | F1-score |
What metrics were used to measure the pxp model in the Latent Aspect Detection from Online Unsolicited Customer Reviews paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Average Recall, Hit@5, MRR, NDCG |
What metrics were used to measure the CIN-small model in the Weisfeiler and Lehman Go Cellular: CW Networks paper on the ZINC 100k dataset? | MAE |
What metrics were used to measure the GSN model in the Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting paper on the ZINC 100k dataset? | MAE |
What metrics were used to measure the ARGNP model in the Automatic Relation-aware Graph Network Proliferation paper on the ZINC 100k dataset? | MAE |
What metrics were used to measure the EGT model in the Global Self-Attention as a Replacement for Graph Convolution paper on the ZINC 100k dataset? | MAE |
What metrics were used to measure the MPNN model in the Neural Message Passing for Quantum Chemistry paper on the ZINC 100k dataset? | MAE |
What metrics were used to measure the GatedGCN model in the Benchmarking Graph Neural Networks paper on the ZINC 100k dataset? | MAE |
What metrics were used to measure the MoNet model in the Geometric deep learning on graphs and manifolds using mixture model CNNs paper on the ZINC 100k dataset? | MAE |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the ZINC 100k dataset? | MAE |
What metrics were used to measure the GRIT model in the Graph Inductive Biases in Transformers without Message Passing paper on the ZINC-full dataset? | MAE |
What metrics were used to measure the GRIT model in the Graph Inductive Biases in Transformers without Message Passing paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the MFN (CGN) model in the Equivariant Matrix Function Neural Networks paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the PDF model in the Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the Spec-GN model in the A New Perspective on the Effects of Spectrum in Graph Neural Networks paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the GPS model in the Recipe for a General, Powerful, Scalable Graph Transformer paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the SAGNN model in the Substructure Aware Graph Neural Networks paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the BasePlanE model in the PlanE: Representation Learning over Planar Graphs paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the GPTrans-Nano model in the Graph Propagation Transformer for Graph Representation Learning paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the CIN model in the Weisfeiler and Lehman Go Cellular: CW Networks paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the PNA-SignNet model in the Sign and Basis Invariant Networks for Spectral Graph Representation Learning paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the CRaWl+VN model in the Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the GatedGCN-LSPE model in the Graph Neural Networks with Learnable Structural and Positional Representations paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the CIN-small model in the Weisfeiler and Lehman Go Cellular: CW Networks paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the PNA-LSPE model in the Graph Neural Networks with Learnable Structural and Positional Representations paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the CRaWl model in the Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the GSN model in the Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the SAN-LSPE model in the Graph Neural Networks with Learnable Structural and Positional Representations paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the EGT model in the Global Self-Attention as a Replacement for Graph Convolution paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the Graphormer-SLIM model in the Do Transformers Really Perform Bad for Graph Representation? paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the MPNN (sum) model in the Neural Message Passing for Quantum Chemistry paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the GatedGCN-PE model in the Benchmarking Graph Neural Networks paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the GatedGCN-E-PE model in the Benchmarking Graph Neural Networks paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the MPNN (max) model in the Neural Message Passing for Quantum Chemistry paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the GatedGCN model in the Residual Gated Graph ConvNets paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the MoNet model in the Geometric deep learning on graphs and manifolds using mixture model CNNs paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the 3WLGNN model in the Provably Powerful Graph Networks paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the RingGNN model in the On the equivalence between graph isomorphism testing and function approximation with GNNs paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the GraphSage model in the Inductive Representation Learning on Large Graphs paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the GIN model in the How Powerful are Graph Neural Networks? paper on the ZINC-500k dataset? | MAE |
What metrics were used to measure the Uni-Mol+ model in the Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+ paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the Transformer-M model in the One Transformer Can Understand Both 2D & 3D Molecular Data paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the GPTrans-L model in the Graph Propagation Transformer for Graph Representation Learning paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the GPTrans-T model in the Graph Propagation Transformer for Graph Representation Learning paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the GPS model in the Recipe for a General, Powerful, Scalable Graph Transformer paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the EGT model in the Global Self-Attention as a Replacement for Graph Convolution paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the GRIT model in the Graph Inductive Biases in Transformers without Message Passing paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the Graphormer model in the Do Transformers Really Perform Bad for Graph Representation? paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the EGT+SSA+Self-ensemble model in the The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the GRPE-Large model in the GRPE: Relative Positional Encoding for Graph Transformer paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the EGT+SSA model in the The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the TokenGT model in the Pure Transformers are Powerful Graph Learners paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the GIN model in the How Powerful are Graph Neural Networks? paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the GCN model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the MLP-Fingerprint model in the OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs paper on the PCQM4Mv2-LSC dataset? | Validation MAE, Test MAE |
What metrics were used to measure the Graphormer model in the Do Transformers Really Perform Bad for Graph Representation? paper on the PCQM4M-LSC dataset? | Test MAE, Validation MAE |
What metrics were used to measure the GIN-virtual model in the OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs paper on the PCQM4M-LSC dataset? | Test MAE, Validation MAE |
What metrics were used to measure the GCN-Virtual model in the OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs paper on the PCQM4M-LSC dataset? | Test MAE, Validation MAE |
What metrics were used to measure the GIN model in the OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs paper on the PCQM4M-LSC dataset? | Test MAE, Validation MAE |
What metrics were used to measure the GCN model in the OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs paper on the PCQM4M-LSC dataset? | Test MAE, Validation MAE |
What metrics were used to measure the MLP-fingerprint model in the OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs paper on the PCQM4M-LSC dataset? | Test MAE, Validation MAE |
What metrics were used to measure the O-GNN model in the O-GNN: Incorporating Ring Priors into Molecular Modeling paper on the PCQM4M-LSC dataset? | Test MAE, Validation MAE |
What metrics were used to measure the GPTrans-L model in the Graph Propagation Transformer for Graph Representation Learning paper on the PCQM4M-LSC dataset? | Test MAE, Validation MAE |
What metrics were used to measure the EGT model in the Global Self-Attention as a Replacement for Graph Convolution paper on the PCQM4M-LSC dataset? | Test MAE, Validation MAE |
What metrics were used to measure the Higher-Order Transformer model in the Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs paper on the PCQM4M-LSC dataset? | Test MAE, Validation MAE |
What metrics were used to measure the Graph ViT model in the A Generalization of ViT/MLP-Mixer to Graphs paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the MGT+WavePE model in the Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the GRIT model in the Graph Inductive Biases in Transformers without Message Passing paper on the Peptides-struct dataset? | MAE |
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