prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GAP model in the Meta-Learning with a Geometry-Adaptive Preconditioner paper on the Tiered ImageNet 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the Approximate GAP model in the Meta-Learning with a Geometry-Adaptive Preconditioner paper on the Tiered ImageNet 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the HyperTransformer model in the HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning paper on the Tiered ImageNet 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the RFS model in the HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning paper on the Tiered ImageNet 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the MATANet model in the Multi-scale Adaptive Task Attention Network for Few-Shot Learning paper on the CUB-200-2011 5-way (5-shot) 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 FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the EASY 2xResNet12 1/√2 (transductive) model in the EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients paper on the FC100 5-way (1-shot) 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 FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the R2-D2+Task Aug model in the Task Augmentation by Rotating for Meta-Learning paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the pseudo-shots model in the Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MetaOptNet-SVM+Task Aug model in the Task Augmentation by Rotating for Meta-Learning paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the HCTransformers model in the Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the EASY 3xResNet12 (inductive) model in the EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the EASY 2xResNet12 1/√2 (inductive) model in the EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients paper on the FC100 5-way (1-shot) 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 FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the FewTURE model in the Rethinking Generalization in Few-Shot Classification paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MetaOptNet-SVM-trainval model in the Meta-Learning with Differentiable Convex Optimization paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the SKD model in the Self-supervised Knowledge Distillation for Few-shot Learning paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MTL model in the Meta-Transfer Learning for Few-Shot Learning paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the ConstellationNets model in the Constellation Nets for Few-Shot Learning paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the SSFormers model in the Sparse Spatial Transformers for Few-Shot Learning paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Multi-Task Learning model in the Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the ACC + Amphibian model in the Generalized Adaptation for Few-Shot Learning paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MCRNet-SVM model in the Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MCRNet-RR model in the Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach paper on the FC100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the TADAM model in the TADAM: Task dependent adaptive metric for improved few-shot learning paper on the FC100 5-way (1-shot) 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 Mini-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 Mini-Imagenet (5-way, 1-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the BD-CSPN model in the Prototype Rectification for Few-Shot Learning paper on the Dirichlet Mini-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 Mini-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 Mini-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 Mini-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 Mini-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 Mini-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 Mini-Imagenet (5-way, 1-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, 1-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, 1-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, 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 Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the MCT model in the Meta-Learned Confidence for Few-shot Learning paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the EPNet model in the Embedding Propagation: Smoother Manifold for Few-Shot Classification paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the AmdimNet model in the Self-Supervised Learning For Few-Shot Image Classification paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the Transfer+SGC model in the Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the BaseTransformers (Inductive) model in the BaseTransformers: Attention over base data-points for One Shot Learning paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the BD-CSPN model in the Prototype Rectification for Few-Shot Learning paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the SIB model in the paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the Multiple-semantics model in the Baby steps towards few-shot learning with multiple semantics paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the R2-D2+Task Aug model in the Task Augmentation by Rotating for Meta-Learning paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the MetaOptNet-SVM+Task Aug model in the Task Augmentation by Rotating for Meta-Learning paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the Neg-Margin model in the Negative Margin Matters: Understanding Margin in Few-shot Classification paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the DivCoop model in the Diversity with Cooperation: Ensemble Methods for Few-Shot Classification paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the GCR model in the Few-Shot Learning with Global Class Representations paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the HyperShot model in the HyperShot: Few-Shot Learning by Kernel HyperNetworks paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the PLATIPUS model in the Probabilistic Model-Agnostic Meta-Learning paper on the Mini-ImageNet - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the RS-FSL model in the Rich Semantics Improve Few-shot Learning paper on the Oxford 102 Flower dataset? | ACCURACY |
What metrics were used to measure the HyperShot model in the HyperShot: Few-Shot Learning by Kernel HyperNetworks paper on the OMNIGLOT-EMNIST 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the DKT + BNCosSim model in the Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels paper on the OMNIGLOT-EMNIST 5-way (5-shot) 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 Rank dataset? | Mean Rank |
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 Rank dataset? | Mean Rank |
What metrics were used to measure the Simple CNAPS model in the Improved Few-Shot Visual Classification paper on the Meta-Dataset Rank dataset? | Mean Rank |
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 Rank dataset? | Mean Rank |
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 Rank dataset? | Mean Rank |
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 Rank dataset? | Mean Rank |
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 Rank dataset? | Mean Rank |
What metrics were used to measure the Prototypical Networks model in the Prototypical Networks for Few-shot Learning paper on the Meta-Dataset Rank dataset? | Mean Rank |
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 Rank dataset? | Mean Rank |
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 Rank dataset? | Mean Rank |
What metrics were used to measure the Matching Networks model in the Matching Networks for One Shot Learning paper on the Meta-Dataset Rank dataset? | Mean Rank |
What metrics were used to measure the k-NN model in the Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples paper on the Meta-Dataset Rank dataset? | Mean Rank |
What metrics were used to measure the Relation Networks model in the Learning to Compare: Relation Network for Few-Shot Learning paper on the Meta-Dataset Rank dataset? | Mean Rank |
What metrics were used to measure the MAWS (ViT-2B) model in the The effectiveness of MAE pre-pretraining for billion-scale pretraining paper on the iNaturalist 2018 - 10-shot dataset? | Top 1 Accuracy |
What metrics were used to measure the PT+MAP+SF+SOT (transductive) model in the The Self-Optimal-Transport Feature Transform paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the PEMnE-BMS* model in the Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the LST+MAP model in the Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Illumination Augmentation model in the Sill-Net: Feature Augmentation with Separated Illumination Representation paper on the CIFAR-FS 5-way (1-shot) dataset? | 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 CIFAR-FS 5-way (1-shot) 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 CIFAR-FS 5-way (1-shot) 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 CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the EASY 2xResNet12 1/√2 (transductive) model in the EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients paper on the CIFAR-FS 5-way (1-shot) dataset? | 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 CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the pseudo-shots model in the Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the SIB model in the Empirical Bayes Transductive Meta-Learning with Synthetic Gradients paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the HCTransformers model in the Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Adaptive Subspace Network model in the Adaptive Subspaces for Few-Shot Learning paper on the CIFAR-FS 5-way (1-shot) 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 CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the FewTURE model in the Rethinking Generalization in Few-Shot Classification paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the R2-D2+Task Aug model in the Task Augmentation by Rotating for Meta-Learning paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the SKD model in the Self-supervised Knowledge Distillation for Few-shot Learning paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MetaOptNet-SVM+Task Aug model in the Task Augmentation by Rotating for Meta-Learning paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the ICI model in the Instance Credibility Inference for Few-Shot Learning paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the EASY 3xResNet12 (inductive) model in the EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MetaQDA model in the Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the ConstellationNets model in the Constellation Nets for Few-Shot Learning paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the EASY 2xResNet12 1/√2 (inductive) model in the EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the S2M2R model in the Charting the Right Manifold: Manifold Mixup for Few-shot Learning paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MCRNet-SVM model in the Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the RENet model in the Relational Embedding for Few-Shot Classification paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the SSFormers model in the Sparse Spatial Transformers for Few-Shot Learning paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MCRNet-RR model in the Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the ACC + Amphibian model in the Generalized Adaptation for Few-Shot Learning paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
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