prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SimCLR-v2 (ResNet152-w3 + SK) model in the Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision paper on the RESISC45 dataset? | Top 1 Accuracy |
What metrics were used to measure the ResNet50 (ImageNet-supervised) model in the Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision paper on the RESISC45 dataset? | Top 1 Accuracy |
What metrics were used to measure the MoCo-v2 (ResNet50) model in the Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision paper on the RESISC45 dataset? | Top 1 Accuracy |
What metrics were used to measure the Our Ensemble Learning-2 model in the Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models paper on the Fracture/Normal Shoulder Bone X-ray Images on MURA dataset? | Cohen’s Kappa score , Test Accuracy, AUC score |
What metrics were used to measure the Our Ensemble Learning-1 model in the Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models paper on the Fracture/Normal Shoulder Bone X-ray Images on MURA dataset? | Cohen’s Kappa score , Test Accuracy, AUC score |
What metrics were used to measure the RADAM (ConvNeXt-XL) model in the RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps paper on the KTH-TIPS2 dataset? | Accuracy (%) |
What metrics were used to measure the ResNet model in the Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation paper on the Deep PCB dataset? | Accuracy (%) |
What metrics were used to measure the WRN (N=36, k=5) model in the A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets paper on the ImageNet-64 dataset? | Top 1 Error |
What metrics were used to measure the WRN28-10 (SAM) model in the Sharpness-Aware Minimization for Efficiently Improving Generalization paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the E2E-M3 model in the Rethinking Recurrent Neural Networks and Other Improvements for Image Classification paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Wide-ResNet-28-10 (Fast AA) model in the Fast AutoAugment paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Colornet model in the ColorNet: Investigating the importance of color spaces for image classification paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the PBA [ho2019pba] model in the Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the WaveMixLite-144/15 model in the WaveMix: A Resource-efficient Neural Network for Image Analysis paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Cutout model in the Improved Regularization of Convolutional Neural Networks with Cutout paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the PyramidNet + AA (AMP) model in the Regularizing Neural Networks via Adversarial Model Perturbation paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the WRN + fixup init + mixup + cutout model in the Fixup Initialization: Residual Learning Without Normalization paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Drop-Activation model in the Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the SOPCNN model in the Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the EraseReLU model in the EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Wide Residual Networks model in the Wide Residual Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the CoPaNet-R-164 model in the Deep Competitive Pathway Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the WaveMixLite model in the WaveMix-Lite: A Resource-efficient Neural Network for Image Analysis paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the DenseNet model in the Densely Connected Convolutional Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Multilevel Residual Networks model in the Residual Networks of Residual Networks: Multilevel Residual Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the VGG8B + LocalLearning + CO model in the Training Neural Networks with Local Error Signals paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Tree+Max-Avg pooling model in the Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Wide ResNet model in the Wide Residual Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Stochastic Depth model in the Deep Networks with Stochastic Depth paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the RCNN-96 model in the paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the BNM NiN model in the Batch-normalized Maxout Network in Network paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the CMsC model in the Competitive Multi-scale Convolution paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Regularization of Neural Networks using DropConnect model in the paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the DSN model in the Deeply-Supervised Nets paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the MLR DNN model in the paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the MIM model in the On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the FractalNet model in the FractalNet: Ultra-Deep Neural Networks without Residuals paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the DCNN model in the Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the BinaryConnect model in the BinaryConnect: Training Deep Neural Networks with binary weights during propagations paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the EnAET model in the EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the PreActResNet18 (AMP) model in the Regularizing Neural Networks via Adversarial Model Perturbation paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Network in Network model in the Network In Network paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the ReNet model in the ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Maxout model in the Maxout Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the MixMatch model in the MixMatch: A Holistic Approach to Semi-Supervised Learning paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the ResNet-18 model in the Benchopt: Reproducible, efficient and collaborative optimization benchmarks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Stochastic Pooling model in the Stochastic Pooling for Regularization of Deep Convolutional Neural Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Deep Complex model in the Deep Complex Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the FLSCNN model in the Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Convolutional neural networks applied to house numbers digit classification model in the paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the CLS-GAN model in the Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Improved GAN model in the Improved Techniques for Training GANs paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Local Mixup LeNet model in the Preventing Manifold Intrusion with Locality: Local Mixup paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Sign-symmetry model in the How Important is Weight Symmetry in Backpropagation? paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the SEER (RegNet10B) model in the Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the ANODE model in the Augmented Neural ODEs paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Skip DGN model in the Auxiliary Deep Generative Models paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the DCGAN model in the Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Auxiliary DGN model in the Auxiliary Deep Generative Models paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Supervised CNN model in the Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the M1+M2 model in the Semi-Supervised Learning with Deep Generative Models paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the DGN model in the Semi-Supervised Learning with Deep Generative Models paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the M1+TSVM model in the Semi-Supervised Learning with Deep Generative Models paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the M1+KNN model in the Semi-Supervised Learning with Deep Generative Models paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the TSVM model in the Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the KNN model in the Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the Wide-ResNet-28-10 model in the Automatic Data Augmentation via Invariance-Constrained Learning paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the PyramidNet model in the EXACT: How to Train Your Accuracy paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the ShortNet2-43 model in the Connection Reduction of DenseNet for Image Recognition paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the TripleNet-B model in the Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the ThreshNet79 model in the ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections paper on the SVHN dataset? | Percentage error, Percentage correct |
What metrics were used to measure the ALIGN (50 hypers/task) model in the Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the BiT-L (50 hypers/task) model in the Big Transfer (BiT): General Visual Representation Learning paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the ViT-G/14 model in the Scaling Vision Transformers paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the PVP(VIT-Base) model in the PVP: Pre-trained Visual Parameter-Efficient Tuning paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the ViT-H/14 model in the An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the ExpertEnsembles R101 model in the Deep Ensembles for Low-Data Transfer Learning paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the BiT-L model in the Big Transfer (BiT): General Visual Representation Learning paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the ViT-L/16 model in the An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the ViT-L/16 ("ImageNet-21k") model in the An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the S4L-Exemplar-ResNet50-LargeHyperSweep model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the ScalableExperts (I21k+JFT) model in the Scalable Transfer Learning with Expert Models paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the S4L-Rotation-ResNet50-LargeHyperSweep model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the ImageNet-ResNet50-LargeHyperSweep model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the BiT-M model in the Big Transfer (BiT): General Visual Representation Learning paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the VIVI-Ex4-Co model in the Self-Supervised Learning of Video-Induced Visual Invariances paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the S4L-Rotation-ResNet50 model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the S4L-Exemplar-ResNet50 model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the BiT-S model in the Big Transfer (BiT): General Visual Representation Learning paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the ImageNet-ResNet50 model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the S4L-10%-Rotation-ResNet50 model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the S4L-10%-Exemplar-ResNet50 model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the ImageNet-10%-ResNet50 model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the SelfSup-Rotation-ResNet50 model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the ResNet50-LargeHyperSweep model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the BigBiGAN-ResNet50 model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the UpperCaSE-EfficientNetB0 model in the Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the SelfSup-Exemplar-ResNet50 model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the UpperCaSE-ResNet50 model in the Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
What metrics were used to measure the SelfSup-Jigsaw-ResNet50 model in the A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark paper on the VTAB-1k dataset? | Top-1 Accuracy, Params |
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