prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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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 (5-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 (5-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 (5-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 (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 5-way (5-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 (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 Mini-Imagenet 5-way (5-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 (5-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 (5-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 (5-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 (5-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 (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 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 Mini-Imagenet 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the MC2+ model in the Meta-Curvature paper on the Mini-Imagenet 5-way (5-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 (5-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 5-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 5-way (5-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 (5-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 (5-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 (5-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 (5-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 (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 Mini-Imagenet 5-way (5-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 (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 5-way (5-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 (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 ImageNet (1-shot) dataset? | Top-5 Accuracy |
What metrics were used to measure the Dynamic FSL model in the Dynamic Few-Shot Visual Learning without Forgetting paper on the ImageNet (1-shot) dataset? | Top-5 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 (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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 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 FC100 5-way (5-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 (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 FC100 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 FC100 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the ViT-MoE-15B (Every-2) model in the Scaling Vision with Sparse Mixture of Experts paper on the ImageNet - 10-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 ImageNet - 10-shot dataset? | Top 1 Accuracy |
What metrics were used to measure the V-MoE-H/14 (Every-2) model in the Scaling Vision with Sparse Mixture of Experts paper on the ImageNet - 10-shot dataset? | Top 1 Accuracy |
What metrics were used to measure the V-MoE-H/14 (Last-5) model in the Scaling Vision with Sparse Mixture of Experts paper on the ImageNet - 10-shot dataset? | Top 1 Accuracy |
What metrics were used to measure the VIT-H/14 model in the Scaling Vision with Sparse Mixture of Experts paper on the ImageNet - 10-shot dataset? | Top 1 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 AWA2 - 0-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 CIFAR-FS 5-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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 5-way (5-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 (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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 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 CIFAR-FS 5-way (5-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 (5-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 (5-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 (5-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 (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 CIFAR-FS 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 CIFAR-FS - 1-Shot Learning dataset? | Accuracy |
What metrics were used to measure the ViT-MoE-15B (Every-2) model in the Scaling Vision with Sparse Mixture of Experts paper on the ImageNet - 5-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 ImageNet - 5-shot dataset? | Top 1 Accuracy |
What metrics were used to measure the V-MoE-H/14 (Every-2) model in the Scaling Vision with Sparse Mixture of Experts paper on the ImageNet - 5-shot dataset? | Top 1 Accuracy |
What metrics were used to measure the V-MoE-H/14 (Last-5) model in the Scaling Vision with Sparse Mixture of Experts paper on the ImageNet - 5-shot dataset? | Top 1 Accuracy |
What metrics were used to measure the V-MoE-L/16 (Every-2) model in the Scaling Vision with Sparse Mixture of Experts paper on the ImageNet - 5-shot dataset? | Top 1 Accuracy |
What metrics were used to measure the VIT-H/14 model in the Scaling Vision with Sparse Mixture of Experts paper on the ImageNet - 5-shot dataset? | Top 1 Accuracy |
What metrics were used to measure the DebiasPL (ResNet50) model in the Debiased Learning from Naturally Imbalanced Pseudo-Labels paper on the ImageNet - 0-Shot dataset? | Accuracy |
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