prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the MetaOptNet-SVM-trainval model in the Meta-Learning with Differentiable Convex Optimization paper on the CIFAR-FS 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 CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the RCN - ResNet12 model in the Region Comparison Network for Interpretable Few-shot Image Classification paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MTUNet+WRN model in the Match Them Up: Visually Explainable Few-shot Image Classification paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MTUNet+ResNet-18 model in the Match Them Up: Visually Explainable Few-shot Image Classification paper on the CIFAR-FS 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the RCN - Conv4-64 model in the Region Comparison Network for Interpretable Few-shot Image Classification 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 Dirichlet CUB-200 (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 CUB-200 (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 CUB-200 (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 CUB-200 (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 CUB-200 (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 CUB-200 (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 CUB-200 (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 CUB-200 (5-way, 1-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the UL-Hopfield (ULH) model in the Unsupervised Learning using Pretrained CNN and Associative Memory Bank paper on the Caltech-256 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Delta-encoder model in the Delta-encoder: an effective sample synthesis method for few-shot object recognition paper on the Caltech-256 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the TAFE-Net model in the TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning paper on the AWA1 - 0-Shot dataset? | Accuracy |
What metrics were used to measure the Transductive CNAPS + FETI model in the Enhancing Few-Shot Image Classification with Unlabelled Examples paper on the Mini-Imagenet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Simple CNAPS + FETI model in the Improved Few-Shot Visual Classification paper on the Mini-Imagenet 10-way (1-shot) dataset? | 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 10-way (1-shot) 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 Mini-Imagenet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the TPN (Higher Shot) model in the Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning paper on the Mini-Imagenet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Simple CNAPS model in the Improved Few-Shot Visual Classification paper on the Mini-Imagenet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Label Propagation model in the Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning paper on the Mini-Imagenet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Relation Networks model in the Learning to Compare: Relation Network for Few-Shot Learning paper on the Mini-Imagenet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Prototypical Networks (Higher Way) model in the Prototypical Networks for Few-shot Learning paper on the Mini-Imagenet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Prototypical Networks model in the Prototypical Networks for Few-shot Learning paper on the Mini-Imagenet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Reptile+BN model in the On First-Order Meta-Learning Algorithms paper on the Mini-Imagenet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MAML + Transduction model in the Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks paper on the Mini-Imagenet 10-way (1-shot) dataset? | 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 Mini-Imagenet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Reptile model in the On First-Order Meta-Learning Algorithms paper on the Mini-Imagenet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the ViT-e model in the PaLI: A Jointly-Scaled Multilingual Language-Image Model paper on the ImageNet dataset? | Top 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, 5-shot) dataset? | 1:1 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, 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 Tiered-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 Tiered-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 Tiered-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 Tiered-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 Tiered-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 Tiered-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 Tiered-Imagenet (5-way, 5-shot) dataset? | 1:1 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 - 1-Shot, 1000 way dataset? | 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 CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the PT+MAP+SF (transductive) model in the Few-Shot Learning by Integrating Spatial and Frequency Representation paper on the CUB 200 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 CUB 200 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 CUB 200 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 CUB 200 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 CUB 200 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 CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the EASY 4xResNet12 (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 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 CUB 200 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 CUB 200 5-way 1-shot 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 CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the TDM model in the Task Discrepancy Maximization for Fine-grained Few-Shot Classification paper on the CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the BD-CSPN + ESFR (ResNet-18) model in the Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification paper on the CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the TIM-GD model in the Transductive Information Maximization For Few-Shot Learning paper on the CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the LaplacianShot model in the Laplacian Regularized Few-Shot Learning paper on the CUB 200 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 CUB 200 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 CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the Ours model in the Variational Feature Disentangling for Fine-Grained Few-Shot Classification paper on the CUB 200 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 CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the EASY 4xResNet12 (inductive) 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 1-shot dataset? | Accuracy |
What metrics were used to measure the AmdimNet model in the Self-Supervised Learning For Few-Shot Image Classification paper on the CUB 200 5-way 1-shot 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 CUB 200 5-way 1-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 CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the Self-Critique and Adapt + High-End MAML++ model in the Learning to learn via Self-Critique paper on the CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the Delta-encoder model in the Delta-encoder: an effective sample synthesis method for few-shot object recognition paper on the CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the feat (ProtoNet) model in the Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions paper on the CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the High-End MAML++ model in the Learning to learn via Self-Critique paper on the CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the HyperShot model in the HyperShot: Few-Shot Learning by Kernel HyperNetworks paper on the CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the RS-FSL model in the Rich Semantics Improve Few-shot Learning paper on the CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the Hyperbolic ProtoNet model in the Hyperbolic Image Embeddings paper on the CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the DN4-DA (k=1) model in the Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning paper on the CUB 200 5-way 1-shot dataset? | Accuracy |
What metrics were used to measure the Relation Net model in the Learning to Compare: Relation Network for Few-Shot Learning paper on the CUB 200 5-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, 423 way dataset? | Accuracy |
What metrics were used to measure the GCR model in the Few-Shot Learning with Global Class Representations paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the DCN6-E model in the Decoder Choice Network for Meta-Learning paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the DCN4 model in the Decoder Choice Network for Meta-Learning paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the TapNet model in the TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the MAML++ model in the HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the MAML++ model in the How to train your MAML paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the Relation Net model in the Learning to Compare: Relation Network for Few-Shot Learning paper on the OMNIGLOT - 1-Shot, 20-way 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 - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the MT-net model in the Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the iMAML, Hessian-Free model in the Meta-Learning with Implicit Gradients paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the adaCNN (DF) model in the Rapid Adaptation with Conditionally Shifted Neurons paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the Prototypical Networks model in the Prototypical Networks for Few-shot Learning paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the Hyperbolic ProtoNet model in the Hyperbolic Image Embeddings paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the ConvNet with Memory Module model in the Learning to Remember Rare Events paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the Matching Nets model in the Matching Networks for One Shot Learning paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the Neural Statistician model in the Towards a Neural Statistician paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the VAMPIRE model in the Uncertainty in Model-Agnostic Meta-Learning using Variational Inference paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the Reptile + Transduction model in the On First-Order Meta-Learning Algorithms paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the MC2+ model in the Meta-Curvature paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the MR-MAML model in the Meta-Learning without Memorization paper on the OMNIGLOT - 1-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the TRIDENT model in the Transductive Decoupled Variational Inference for Few-Shot Classification paper on the Mini-ImageNet-CUB 5-way (5-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 Mini-ImageNet-CUB 5-way (5-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 Mini-ImageNet-CUB 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the DAPNA model in the Few-Shot Learning as Domain Adaptation: Algorithm and Analysis paper on the Mini-ImageNet-CUB 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the LaplacianShot model in the Laplacian Regularized Few-Shot Learning paper on the Mini-ImageNet-CUB 5-way (5-shot) dataset? | Accuracy |
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