prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the Diffusion Classifier model in the Your Diffusion Model is Secretly a Zero-Shot Classifier paper on the ObjectNet (ImageNet classes) dataset? | Top 1 Accuracy |
What metrics were used to measure the Deep regularization model in the Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows paper on the QMNIST dataset? | Accuracy (%) |
What metrics were used to measure the Max Margin Contrastive model in the Contrastive Learning of Generalized Game Representations paper on the Sports10 dataset? | Validation Accuracy |
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 KITTI-Dist dataset? | Top 1 Accuracy |
What metrics were used to measure the WaveMixLite model in the WaveMix: A Resource-efficient Neural Network for Image Analysis paper on the mnist dataset? | Percentage error |
What metrics were used to measure the WRN (N=28, k=10) model in the A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets paper on the ImageNet-32 dataset? | Top 1 Error |
What metrics were used to measure the WaveMixLite-128/7 model in the WaveMix: A Resource-efficient Neural Network for Image Analysis paper on the EMNIST-Balanced dataset? | Accuracy |
What metrics were used to measure the VGG-5(Spinal FC) model in the SpinalNet: Deep Neural Network with Gradual Input paper on the EMNIST-Balanced dataset? | Accuracy |
What metrics were used to measure the VGG-5 model in the SpinalNet: Deep Neural Network with Gradual Input paper on the EMNIST-Balanced dataset? | Accuracy |
What metrics were used to measure the TextCaps model in the Dynamic Routing Between Capsules paper on the EMNIST-Balanced dataset? | Accuracy |
What metrics were used to measure the ResNet-18 model in the Reduction of Class Activation Uncertainty with Background Information paper on the EMNIST-Balanced dataset? | Accuracy |
What metrics were used to measure the OptConv+Log+Perc model in the Efficient Neural Vision Systems Based on Convolutional Image Acquisition paper on the EMNIST-Balanced dataset? | Accuracy |
What metrics were used to measure the OPIUM Classifier model in the EMNIST: an extension of MNIST to handwritten letters paper on the EMNIST-Balanced dataset? | Accuracy |
What metrics were used to measure the Linear Classifier model in the EMNIST: an extension of MNIST to handwritten letters paper on the EMNIST-Balanced dataset? | Accuracy |
What metrics were used to measure the Hiera-H (448px) model in the Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the MAE (ViT-H, 448) model in the Masked Autoencoders Are Scalable Vision Learners paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the MetaFormer
(MetaFormer-2,384,extra_info) model in the MetaFormer: A Unified Meta Framework for Fine-Grained Recognition paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the MetaFormer
(MetaFormer-2,384) model in the MetaFormer: A Unified Meta Framework for Fine-Grained Recognition paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the FixSENet-154 model in the Fixing the train-test resolution discrepancy paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the SEB+EfficientNet-B5 model in the On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the TransFG model in the TransFG: A Transformer Architecture for Fine-grained Recognition paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the IncResNetV2 SE model in the The iNaturalist Species Classification and Detection Dataset paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the SpineNet-143 model in the SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the MetaSAug model in the MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the Graph-RISE (40M) model in the Graph-RISE: Graph-Regularized Image Semantic Embedding paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the iSQRT-COV-Net model in the Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization paper on the iNaturalist dataset? | Top 1 Accuracy, Top 5 Accuracy, Top 3 Error |
What metrics were used to measure the PCGAN-CHAR model in the PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters paper on the Noisy MNIST (AWGN) dataset? | Accuracy |
What metrics were used to measure the Pixel-level RC model in the Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters paper on the Noisy MNIST (AWGN) dataset? | Accuracy |
What metrics were used to measure the shreynet model in the Deep Residual Learning for Image Recognition paper on the cifar100 dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the ASF-former-S model in the Adaptive Split-Fusion Transformer paper on the CIFAR-10 Image Classification dataset? | Params |
What metrics were used to measure the ASF-former-B model in the Adaptive Split-Fusion Transformer paper on the CIFAR-10 Image Classification dataset? | Params |
What metrics were used to measure the PropMix (Ours) model in the PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels paper on the WebVision dataset? | Top 1 Accuracy, Top 5 Accuracy |
What metrics were used to measure the FINE + DivideMix model in the FINE Samples for Learning with Noisy Labels paper on the WebVision dataset? | Top 1 Accuracy, Top 5 Accuracy |
What metrics were used to measure the EffNet-L2 (SAM) model in the Sharpness-Aware Minimization for Efficiently Improving Generalization paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Swin-L + ML-Decoder model in the ML-Decoder: Scalable and Versatile Classification Head paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the µ2Net (ViT-L/16) model in the An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ViT-B-16 (ImageNet-21K-P pretrain) model in the ImageNet-21K Pretraining for the Masses paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the CvT-W24 model in the CvT: Introducing Convolutions to Vision Transformers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ViT-B/16 (PUGD) model in the Perturbated Gradients Updating within Unit Space for Deep Learning paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Heinsen Routing + BEiT-large 16 224 model in the An Algorithm for Routing Vectors in Sequences paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the BiT-L (ResNet) model in the Big Transfer (BiT): General Visual Representation Learning paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Astroformer model in the Astroformer: More Data Might not be all you need for Classification paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the VIT-L/16 (Background, Spinal FC) model in the Reduction of Class Activation Uncertainty with Background Information paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the CaiT-M-36 U 224 model in the Going deeper with Image Transformers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ViT-L (attn fine-tune) model in the Three things everyone should know about Vision Transformers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the TResNet-L-V2 model in the TResNet: High Performance GPU-Dedicated Architecture paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the EfficientNetV2-L model in the EfficientNetV2: Smaller Models and Faster Training paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the EfficientNetV2-M model in the EfficientNetV2: Smaller Models and Faster Training paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the BiT-M (ResNet) model in the Big Transfer (BiT): General Visual Representation Learning paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the CeiT-S model in the Incorporating Convolution Designs into Visual Transformers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the CeiT-S (384 finetune resolution) model in the Incorporating Convolution Designs into Visual Transformers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the EfficientNet-B7 model in the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the EfficientNetV2-S model in the EfficientNetV2: Smaller Models and Faster Training paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the GPIPE model in the GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the TNT-B model in the Transformer in Transformer paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the DeiT-B model in the Training data-efficient image transformers & distillation through attention paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the GFNet-H-B model in the Global Filter Networks for Image Classification paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the E2E-3M model in the Rethinking Recurrent Neural Networks and Other Improvements for Image Classification paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Bamboo (ViT-B/16) model in the Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PyramidNet-272 (ASAM) model in the ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PyramidNet (SAM) model in the Sharpness-Aware Minimization for Efficiently Improving Generalization paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the DVT (T2T-ViT-24) model in the Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResMLP-24 model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PyramidNet-272, S=4 model in the Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the CeiT-T model in the Incorporating Convolution Designs into Visual Transformers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PyramidNet+ShakeDrop model in the AutoAugment: Learning Augmentation Policies from Data paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ViT-B/16- SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ConvMLP-M model in the ConvMLP: Hierarchical Convolutional MLPs for Vision paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ConvMLP-L model in the ConvMLP: Hierarchical Convolutional MLPs for Vision paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNet-152x4-AGC (ImageNet-21K) model in the Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ColorNet model in the ColorNet: Investigating the importance of color spaces for image classification paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PyramidNet+ShakeDrop (Fast AA) model in the Fast AutoAugment paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the NAT-M4 model in the Neural Architecture Transfer paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the CeiT-T (384 finetune resolution) model in the Incorporating Convolution Designs into Visual Transformers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the NAT-M3 model in the Neural Architecture Transfer paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ViT-S/16- SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the NAT-M2 model in the Neural Architecture Transfer paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Dynamics 1 model in the PSO-Convolutional Neural Networks with Heterogeneous Learning Rate paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the DenseNet-BC-190, S=4 model in the Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ConvMLP-S model in the ConvMLP: Hierarchical Convolutional MLPs for Vision paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResMLP-12 model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN-40-10, S=4 model in the Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNet50 (A1) model in the ResNet strikes back: An improved training procedure in timm paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN-28-10 * 3 model in the MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PyramidNet + AA (AMP) model in the Regularizing Neural Networks via Adversarial Model Perturbation paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PyramidNet-200 + Shakedrop + Cutmix + PS-KD model in the Self-Knowledge Distillation with Progressive Refinement of Targets paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Mixer-B/16- SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PyramidNet-200 + Shakedrop + Cutmix model in the CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the MUXNet-m model in the MUXConv: Information Multiplexing in Convolutional Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the NAT-M1 model in the Neural Architecture Transfer paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN-28-10 model in the MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN-28-10, S=4 model in the Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PyramidNet model in the EXACT: How to Train Your Accuracy paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN-28-8 (SAMix+DM) model in the Harnessing Hard Mixed Samples with Decoupled Regularizer paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN-28-8 +SAMix model in the Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ASANas model in the Improving Neural Architecture Search Image Classifiers via Ensemble Learning paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN-28-8 (AutoMix+DM) model in the Harnessing Hard Mixed Samples with Decoupled Regularizer paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the SparseSwin model in the SparseSwin: Swin Transformer with Sparse Transformer Block paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN-28-8 (PuzzleMix+DM) model in the Harnessing Hard Mixed Samples with Decoupled Regularizer paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNet-50-SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.