prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the CLIP (ViT B/32) model in the Learning Transferable Visual Models From Natural Language Supervision paper on the ImageNet - 0-Shot dataset? | Accuracy |
What metrics were used to measure the CLIP (ResNet50) model in the Learning Transferable Visual Models From Natural Language Supervision paper on the ImageNet - 0-Shot dataset? | Accuracy |
What metrics were used to measure the Synthesised Classifier model in the Synthesized Classifiers for Zero-Shot Learning paper on the ImageNet - 0-Shot dataset? | Accuracy |
What metrics were used to measure the ConSE model in the Zero-Shot Learning by Convex Combination of Semantic Embeddings paper on the ImageNet - 0-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 20-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 20-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the Meta SGD model in the Meta-SGD: Learning to Learn Quickly for Few-Shot Learning paper on the Mini-Imagenet 20-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the Meta LSTM, (from ) model in the Meta-SGD: Learning to Learn Quickly for Few-Shot Learning paper on the Mini-Imagenet 20-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the Matching Nets, (from ) model in the Meta-SGD: Learning to Learn Quickly for Few-Shot Learning paper on the Mini-Imagenet 20-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the MAML, (from ) model in the Meta-SGD: Learning to Learn Quickly for Few-Shot Learning paper on the Mini-Imagenet 20-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 CUB 200 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 CUB 200 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 CUB 200 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 CUB 200 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 CUB 200 5-way 5-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 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 CUB 200 5-way 5-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 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 CUB 200 5-way 5-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 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 CUB 200 5-way 5-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 5-shot dataset? | Accuracy |
What metrics were used to measure the VFD model in the Variational Feature Disentangling for Fine-Grained Few-Shot Classification paper on the CUB 200 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 CUB 200 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 CUB 200 5-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 CUB 200 5-way 5-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 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 CUB 200 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 CUB 200 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 CUB 200 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 CUB 200 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 CUB 200 5-way 5-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 5-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 5-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 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 CUB 200 5-way 5-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 5-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 5-shot dataset? | Accuracy |
What metrics were used to measure the Human (Amateur) model in the Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions paper on the Bongard-HOI dataset? | Avg. Accuracy |
What metrics were used to measure the SVM-Mimic + PMF (fine-tuned CLIP RN-50) model in the Cross-Image Context Matters for Bongard Problems paper on the Bongard-HOI dataset? | Avg. Accuracy |
What metrics were used to measure the SVM-Mimic (frozen CLIP RN-50) model in the Cross-Image Context Matters for Bongard Problems paper on the Bongard-HOI dataset? | Avg. Accuracy |
What metrics were used to measure the Meta-Baseline (ImagNet_R50) model in the Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions paper on the Bongard-HOI dataset? | Avg. Accuracy |
What metrics were used to measure the Meta-Baseline (MoCov2_R50) model in the Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions paper on the Bongard-HOI dataset? | Avg. Accuracy |
What metrics were used to measure the Meta-Baseline (Scratch_R50) model in the Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions paper on the Bongard-HOI dataset? | Avg. Accuracy |
What metrics were used to measure the ANIL (ImageNet_R50) model in the Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions paper on the Bongard-HOI dataset? | Avg. 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 aPY - 0-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, 5-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, 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 CUB-200 (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 CUB-200 (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 CUB-200 (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 CUB-200 (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 CUB-200 (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 CUB-200 (5-way, 5-shot) dataset? | 1:1 Accuracy |
What metrics were used to measure the LaplacianShot model in the Laplacian Regularized Few-Shot Learning paper on the miniImagenet → CUB (5-way 5-shot) dataset? | Accuracy |
What metrics were used to measure the SimpleCNAPs + LITE model in the Memory Efficient Meta-Learning with Large Images paper on the ORBIT Clean Video Evaluation dataset? | Frame accuracy |
What metrics were used to measure the MAML model in the ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition paper on the ORBIT Clean Video Evaluation dataset? | Frame 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 (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 Tiered ImageNet 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 Tiered 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 Tiered 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 Tiered 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 Tiered ImageNet 5-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 Tiered 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 Tiered 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 Tiered ImageNet 5-way (5-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 (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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered ImageNet 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the ASY ResNet12 (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 (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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered ImageNet 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the MetaFun-Kernel model in the MetaFun: Meta-Learning with Iterative Functional Updates paper on the Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered ImageNet 5-way (5-shot) dataset? | Accuracy |
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