prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the LaplacianShot model in the Laplacian Regularized Few-Shot Learning paper on the Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-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 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the OSLO model in the Open-Set Likelihood Maximization for Few-Shot Learning paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the WRN + Self-Organizing Map model in the GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning paper on the Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the LST model in the Learning to Self-Train for Semi-Supervised Few-Shot Classification paper on the Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the COSOC (inductive) model in the Rectifying the Shortcut Learning of Background for Few-Shot Learning paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the PEMbE-NCM (inductive) model in the Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the LLS-ProtoNet model in the Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the STL DeepBDC (Inductive) model in the Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification paper on the Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Meta DeepBDC (Inductive) model in the Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification paper on the Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the TRAML model in the Boosting Few-Shot Learning With Adaptive Margin Loss paper on the Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the UniSiam model in the Self-Supervision Can Be a Good Few-Shot Learner paper on the Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the AM3-TADAM model in the Adaptive Cross-Modal Few-Shot Learning paper on the Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the SimpleShot (CL2N-DenseNet) model in the SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MetaFun-Attention model in the MetaFun: Meta-Learning with Iterative Functional Updates paper on the Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-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 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 Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the ProtoNet MTM SPSA-Track model in the Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the feat+ (ProtoNet-ResNet) model in the Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions paper on the Mini-Imagenet 5-way (1-shot) 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 Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Category-agnostic mapping WRN model in the Few-Shot Image Recognition by Predicting Parameters from Activations paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the IDeMe-Net model in the Image Deformation Meta-Networks for One-Shot Learning paper on the Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the adaResNet (DF) model in the Rapid Adaptation with Conditionally Shifted Neurons paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Cosine similarity function + C64F feature extractor model in the Dynamic Few-Shot Visual Learning without Forgetting paper on the Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MC2+ model in the Meta-Curvature paper on the Mini-Imagenet 5-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 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the GAP model in the Meta-Learning with a Geometry-Adaptive Preconditioner paper on the Mini-Imagenet 5-way (1-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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-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 Mini-Imagenet 5-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 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MAML++ model in the How to train your MAML paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the SImPa model in the PAC-Bayes meta-learning with implicit task-specific posteriors paper on the Mini-Imagenet 5-way (1-shot) 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Hyperbolic ProtoNet model in the Hyperbolic Image Embeddings paper on the Mini-Imagenet 5-way (1-shot) 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the DN4 (k=3) model in the Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the VNE (BOIL) model in the VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Relation Net (Sung et al., 2018) model in the Learning to Compare: Relation Network for Few-Shot Learning paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the HSML model in the Hierarchically Structured Meta-learning paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Reptile + Transduction model in the On First-Order Meta-Learning Algorithms paper on the Mini-Imagenet 5-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 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the iMAML HF model in the Meta-Learning with Implicit Gradients paper on the Mini-Imagenet 5-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 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Matching Nets (Cosine Matching Fn) model in the Matching Networks for One Shot Learning paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the ABML model in the Amortized Bayesian Meta-Learning paper on the Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the DCN6-E model in the Decoder Choice Network for Meta-Learning paper on the OMNIGLOT - 5-Shot, 5-way 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 OMNIGLOT - 5-Shot, 5-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 - 5-Shot, 5-way dataset? | Accuracy |
What metrics were used to measure the MC2+ model in the Meta-Curvature paper on the OMNIGLOT - 5-Shot, 5-way dataset? | Accuracy |
What metrics were used to measure the DCN4 model in the Decoder Choice Network for Meta-Learning paper on the OMNIGLOT - 5-Shot, 5-way dataset? | Accuracy |
What metrics were used to measure the MAML++ model in the How to train your MAML paper on the OMNIGLOT - 5-Shot, 5-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 - 5-Shot, 5-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 - 5-Shot, 5-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 - 5-Shot, 5-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 - 5-Shot, 5-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 - 5-Shot, 5-way dataset? | Accuracy |
What metrics were used to measure the Neural Statistician model in the Towards a Neural Statistician paper on the OMNIGLOT - 5-Shot, 5-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 - 5-Shot, 5-way dataset? | Accuracy |
What metrics were used to measure the Hyperbolic ProtoNet model in the Hyperbolic Image Embeddings paper on the OMNIGLOT - 5-Shot, 5-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 - 5-Shot, 5-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 - 5-Shot, 5-way dataset? | Accuracy |
What metrics were used to measure the PRE model in the PRE: Vision-Language Prompt Learning with Reparameterization Encoder paper on the Caltech101 dataset? | Harmonic mean |
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 (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-Shot Learning dataset? | Accuracy |
What metrics were used to measure the LaplacianShot model in the Laplacian Regularized Few-Shot Learning paper on the miniImagenet → CUB (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 Mini-ImageNet to CUB - 5 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 to CUB - 5 shot learning 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 CUB-200 - 0-Shot Learning dataset? | Accuracy |
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