prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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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 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 Meta-Dataset dataset? | Accuracy |
What metrics were used to measure the MC2+ model in the Meta-Curvature paper on the OMNIGLOT - 1-Shot, 5-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, 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 - 1-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 - 1-Shot, 5-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, 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 - 1-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 - 1-Shot, 5-way dataset? | Accuracy |
What metrics were used to measure the Hyperbolic ProtoNet model in the Hyperbolic Image Embeddings paper on the OMNIGLOT - 1-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 - 1-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 - 1-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 - 1-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 - 1-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 - 1-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 - 1-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 - 1-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 - 1-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 - 1-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 CUB 200 50-way (0-shot) dataset? | Accuracy |
What metrics were used to measure the DA-SJE Reed et al. (2016) model in the Learning Deep Representations of Fine-grained Visual Descriptions paper on the CUB 200 50-way (0-shot) dataset? | Accuracy |
What metrics were used to measure the DS-SJE Reed et al. (2016) model in the Learning Deep Representations of Fine-grained Visual Descriptions paper on the CUB 200 50-way (0-shot) dataset? | Accuracy |
What metrics were used to measure the SJE Akata et al. (2015) model in the Evaluation of Output Embeddings for Fine-Grained Image Classification paper on the CUB 200 50-way (0-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 Tiered ImageNet 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 Tiered ImageNet 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 Tiered ImageNet 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 Tiered ImageNet 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 Tiered 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 Tiered ImageNet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the ASY ResNet12 (transductive) model in the EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients paper on the Tiered ImageNet 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 Tiered ImageNet 5-way (1-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 Tiered ImageNet 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 Tiered 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 Tiered 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 Tiered ImageNet 5-way (1-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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered ImageNet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the ASY ResNet12 (ours) model in the EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients paper on the Tiered ImageNet 5-way (1-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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered ImageNet 5-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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered ImageNet 5-way (1-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 (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 10-way (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 (5-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 Mini-Imagenet 5-way (1-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 (1-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 (1-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 (1-shot) dataset? | Accuracy |
What metrics were used to measure the PT+MAP (s+f) (transductive) model in the Few-Shot Learning by Integrating Spatial and Frequency Representation paper on the Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the PT+MAP (transductive) model in the Leveraging the Feature Distribution in Transfer-based Few-Shot Learning paper on the Mini-Imagenet 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 Mini-Imagenet 5-way (1-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 (1-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 (1-shot) 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 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 5-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 5-way (1-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 (1-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 (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 Mini-Imagenet 5-way (1-shot) dataset? | Accuracy |
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