prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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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 (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-CUB 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-CUB 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the Synthesised Classifier model in the Synthesized Classifiers for Zero-Shot Learning paper on the SUN - 0-Shot 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 SUN - 0-Shot dataset? | Accuracy |
What metrics were used to measure the MML(KL) model in the Multi-level Metric Learning for Few-shot Image Recognition paper on the Stanford Dogs 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 Stanford Dogs 5-way (1-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 Stanford Dogs 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 5-way (10-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 (10-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 (10-shot) dataset? | Accuracy |
What metrics were used to measure the ResNet-34 (Isotropic Gaussian) model in the Discriminative k-shot learning using probabilistic models paper on the Mini-Imagenet 5-way (10-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 (10-shot) 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, 423 way dataset? | Accuracy |
What metrics were used to measure the Synthesised Classifier model in the Synthesized Classifiers for Zero-Shot Learning paper on the AWA - 0-Shot dataset? | Accuracy |
What metrics were used to measure the UL-Hopfield (ULH) model in the Unsupervised Learning using Pretrained CNN and Associative Memory Bank paper on the CIFAR100 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 CIFAR100 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MML(KL) model in the Multi-level Metric Learning for Few-shot Image Recognition paper on the Stanford Dogs 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 Stanford Dogs 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 Stanford Dogs 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the GNN++ model in the Few-Shot Learning with Graph Neural Networks paper on the Stanford Dogs 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the Prototypical Nets++ model in the Prototypical Networks for Few-shot Learning paper on the Stanford Dogs 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the Matching Nets FCE++ model in the Matching Networks for One Shot Learning paper on the Stanford Dogs 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 OMNIGLOT-EMNIST 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 OMNIGLOT-EMNIST 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 Fewshot-CIFAR100 - 5-Shot Learning 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 Fewshot-CIFAR100 - 1-Shot Learning 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 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered 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 Tiered ImageNet 10-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 Stanford Cars 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the MML(KL) model in the Multi-level Metric Learning for Few-shot Image Recognition paper on the Stanford Cars 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 Stanford Cars 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the GNN++ model in the Few-Shot Learning with Graph Neural Networks paper on the Stanford Cars 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the Prototypical Nets++ model in the Prototypical Networks for Few-shot Learning paper on the Stanford Cars 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the Matching Nets FCE++ model in the Matching Networks for One Shot Learning paper on the Stanford Cars 5-way (5-shot) dataset? | Accuracy |
What metrics were used to measure the ProtoNetsVideo model in the Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022 paper on the ORBIT Clutter Video Evaluation dataset? | Frame accuracy |
What metrics were used to measure the ProtoNets + LITE model in the Memory Efficient Meta-Learning with Large Images paper on the ORBIT Clutter Video Evaluation dataset? | Frame accuracy |
What metrics were used to measure the FineTuner model in the ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition paper on the ORBIT Clutter Video Evaluation dataset? | Frame 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 Stanford Cars 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the MML(KL) model in the Multi-level Metric Learning for Few-shot Image Recognition paper on the Stanford Cars 5-way (1-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 Stanford Cars 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the GNN++ model in the Few-Shot Learning with Graph Neural Networks paper on the Stanford Cars 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Prototypical Nets++ model in the Prototypical Networks for Few-shot Learning paper on the Stanford Cars 5-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Matching Nets FCE++ model in the Matching Networks for One Shot Learning paper on the Stanford Cars 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 Flowers-102 - 0-Shot dataset? | AP50, 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 (10-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 10-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 10-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 10-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 10-way (1-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 Tiered ImageNet 10-way (1-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 Tiered ImageNet 10-way (1-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 Tiered ImageNet 10-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 Tiered ImageNet 10-way (1-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 Tiered ImageNet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Reptile+BN model in the On First-Order Meta-Learning Algorithms paper on the Tiered ImageNet 10-way (1-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 Tiered ImageNet 10-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 Tiered ImageNet 10-way (1-shot) dataset? | Accuracy |
What metrics were used to measure the Reptile model in the On First-Order Meta-Learning Algorithms paper on the Tiered ImageNet 10-way (1-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 - 1-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 - 1-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 - 1-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 - 1-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 - 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 ImageNet - 1-shot dataset? | Top 1 Accuracy |
What metrics were used to measure the LHRR model in the Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking paper on the INRIA Holidays Dataset dataset? | MAP |
What metrics were used to measure the SentiInc model in the SentiInc: Incorporating Sentiment Information into Sentiment Transfer Without Parallel Data paper on the Yelp Review Dataset (Large) dataset? | G-Score (BLEU, Accuracy), BLEU |
What metrics were used to measure the StyleEmb model in the A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations paper on the Yelp Review Dataset (Large) dataset? | G-Score (BLEU, Accuracy), BLEU |
What metrics were used to measure the SAE+Discriminator model in the Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites paper on the Yelp Review Dataset (Small) dataset? | G-Score (BLEU, Accuracy) |
What metrics were used to measure the LatentOps (Few shot) model in the Composable Text Controls in Latent Space with ODEs paper on the Yelp Review Dataset (Small) dataset? | G-Score (BLEU, Accuracy) |
What metrics were used to measure the SentiInc model in the SentiInc: Incorporating Sentiment Information into Sentiment Transfer Without Parallel Data paper on the Yelp Review Dataset (Small) dataset? | G-Score (BLEU, Accuracy) |
What metrics were used to measure the DeleteAndRetrieve model in the Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer paper on the Yelp Review Dataset (Small) dataset? | G-Score (BLEU, Accuracy) |
What metrics were used to measure the DeleteOnly model in the Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer paper on the Yelp Review Dataset (Small) dataset? | G-Score (BLEU, Accuracy) |
What metrics were used to measure the MultiDecoder model in the Style Transfer in Text: Exploration and Evaluation paper on the Yelp Review Dataset (Small) dataset? | G-Score (BLEU, Accuracy) |
What metrics were used to measure the CAE model in the Style Transfer from Non-Parallel Text by Cross-Alignment paper on the Yelp Review Dataset (Small) dataset? | G-Score (BLEU, Accuracy) |
What metrics were used to measure the StyleEmbedding model in the Style Transfer in Text: Exploration and Evaluation paper on the Yelp Review Dataset (Small) dataset? | G-Score (BLEU, Accuracy) |
What metrics were used to measure the AMPA-Net model in the AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing paper on the BSD68 CS=50% dataset? | Average PSNR |
What metrics were used to measure the AMPA-Net model in the AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing paper on the BSDS100 - 2x upscaling dataset? | Average PSNR |
What metrics were used to measure the AMPA-Net model in the AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing paper on the Urban100 - 2x upscaling dataset? | Average PSNR |
What metrics were used to measure the AMPA-Net model in the AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing paper on the Set11 cs=50% dataset? | Average PSNR |
What metrics were used to measure the LapCSNet model in the An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios paper on the Set5 dataset? | Average PSNR |
What metrics were used to measure the CNN-BiLSTM_best model in the A Hybrid CNN-BiLSTM Voice Activity Detector paper on the AVA-Speech dataset? | ROC-AUC |
What metrics were used to measure the CNN-BiLSTM_small model in the A Hybrid CNN-BiLSTM Voice Activity Detector paper on the AVA-Speech dataset? | ROC-AUC |
What metrics were used to measure the SG-VAD (ours) model in the SG-VAD: Stochastic Gates Based Speech Activity Detection paper on the AVA-Speech dataset? | ROC-AUC |
What metrics were used to measure the ADA-VAD model in the ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection paper on the AVA-Speech dataset? | ROC-AUC |
What metrics were used to measure the Domain Agnostic Meta Score-based Learning model in the DAMSL: Domain Agnostic Meta Score-based Learning paper on the miniImagenet dataset? | Accuracy (%) |
What metrics were used to measure the corGAN model in the CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records paper on the UCI Epileptic Seizure Recognition dataset? | AUROC |
What metrics were used to measure the GAN model in the PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees paper on the UCI Epileptic Seizure Recognition dataset? | AUROC |
What metrics were used to measure the ViT-B/32 model in the Vision Transformer based COVID-19 Detection using Chest X-rays paper on the COVID-19 CXR Dataset dataset? | Average F1, Average Precision, Average Recall |
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