prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SJE model in the Evaluation of Output Embeddings for Fine-Grained Image Classification paper on the CUB-200 - 0-Shot Learning dataset? | Accuracy |
What metrics were used to measure the Sample Clustering model in the Learning Deep Parsimonious Representations paper on the CUB-200 - 0-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 - 100-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 (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 Mini-ImageNet-CUB 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 Mini-ImageNet-CUB 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-CUB 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MatchingNet (Vinyals et al., 2016) model in the Matching Networks for One Shot Learning paper on the Mini-ImageNet-CUB 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the ProtoNet (Snell et al., 2017) model in the Prototypical Networks for Few-shot Learning paper on the Mini-ImageNet-CUB 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the RelationNet (Sung et al., 2018) model in the Learning to Compare: Relation Network for Few-Shot Learning paper on the Mini-ImageNet-CUB 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the DKT + CosSim model in the Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels paper on the Mini-ImageNet-CUB 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MAML (Finn et al., 2017) model in the Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks paper on the Mini-ImageNet-CUB 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 Mini-ImageNet-CUB 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the FEAT (Ye et al., 2018) model in the Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions paper on the Mini-ImageNet-CUB 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Baseline++ (Chen et al., 2019) model in the A Closer Look at Few-shot Classification paper on the Mini-ImageNet-CUB 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Word CNN-RNN (DS-SJE Embedding) model in the Learning Deep Representations of Fine-grained Visual Descriptions paper on the CUB-200-2011 - 0-Shot dataset? | Top-1 Accuracy, AP50 |
What metrics were used to measure the Synthesised Classifier model in the Synthesized Classifiers for Zero-Shot Learning paper on the CUB-200-2011 - 0-Shot dataset? | Top-1 Accuracy, AP50 |
What metrics were used to measure the SJE model in the Evaluation of Output Embeddings for Fine-Grained Image Classification paper on the CUB-200-2011 - 0-Shot dataset? | Top-1 Accuracy, AP50 |
What metrics were used to measure the SSE-ReLU [?] model in the Zero-Shot Learning via Semantic Similarity Embedding paper on the CUB-200-2011 - 0-Shot dataset? | Top-1 Accuracy, AP50 |
What metrics were used to measure the ALE model in the Label-Embedding for Attribute-Based Classification paper on the CUB-200-2011 - 0-Shot dataset? | Top-1 Accuracy, AP50 |
What metrics were used to measure the LaplacianShot model in the Laplacian Regularized Few-Shot Learning paper on the iNaturalist (227-way multi-shot) dataset? | Accuracy |
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 - 1-shot dataset? | Top 1 Accuracy |
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 - 5-shot dataset? | Top 1 Accuracy |
What metrics were used to measure the MC2+ model in the Meta-Curvature paper on the OMNIGLOT - 5-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 - 5-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 - 5-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 - 5-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 - 5-Shot, 20-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 - 5-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 - 5-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 - 5-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 - 5-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 - 5-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 - 5-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 - 5-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 - 5-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 - 5-Shot, 20-way dataset? | Accuracy |
What metrics were used to measure the Hyperbolic ProtoNet model in the Hyperbolic Image Embeddings paper on the OMNIGLOT - 5-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 - 5-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 - 5-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 - 5-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 - 5-Shot, 20-way 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 Mini-Imagenet 5-way (5-shot) 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 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 Mini-Imagenet 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the PEMnE-BMS*(transductive) model in the Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning paper on the Mini-Imagenet 5-way (5-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 5-way (5-shot) 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 Mini-Imagenet 5-way (5-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 Mini-Imagenet 5-way (5-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 5-way (5-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 (5-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 Mini-Imagenet 5-way (5-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 Mini-Imagenet 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 5-way (5-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 Mini-Imagenet 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the EPNet + SSL model in the Embedding Propagation: Smoother Manifold for Few-Shot Classification paper on the Mini-Imagenet 5-way (5-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 (5-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 (5-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 (5-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 (5-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 (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 5-way (5-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 (5-shot) dataset? | Accuracy |
What metrics were used to measure the BD-CSPN + ESFR (WRN) model in the Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification paper on the Mini-Imagenet 5-way (5-shot) 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 5-way (5-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 (5-shot) dataset? | Accuracy |
What metrics were used to measure the PrototypeCompletion model in the Prototype Completion for Few-Shot Learning paper on the Mini-Imagenet 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 5-way (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-shot) dataset? | Accuracy |
What metrics were used to measure the TMDlayer + Transduction model in the Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators paper on the Mini-Imagenet 5-way (5-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 (5-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 (5-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 (5-shot) dataset? | Accuracy |
What metrics were used to measure the EGNN + Transduction model in the Edge-labeling Graph Neural Network for Few-shot Learning paper on the Mini-Imagenet 5-way (5-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 (5-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 (5-shot) dataset? | Accuracy |
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