prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the WRN-28-8 +AutoMix model in the AutoMix: Unveiling the Power of Mixup for Stronger Classifiers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WaveMixLite-256/7 model in the WaveMix: A Resource-efficient Neural Network for Image Analysis paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN 28-14 model in the Neural networks with late-phase weights paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the R-Mix (WideResNet 28-10) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the EEEA-Net-C (b=5)+ CO model in the EEEA-Net: An Early Exit Evolutionary Neural Architecture Search paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the RL-Mix (WideResNet 28-10) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Wide-ResNet-28-10 model in the Automatic Data Augmentation via Invariance-Constrained Learning paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the SENet + ShakeEven + Cutout model in the Squeeze-and-Excitation Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNeXt-50(32x4d) + 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 WRN-28-10 with reSGHMC model in the Non-convex Learning via Replica Exchange Stochastic Gradient MCMC paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PyramidNet-272 + SWA model in the Averaging Weights Leads to Wider Optima and Better Generalization paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN28-10 model in the Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the HCGNet-A3 model in the Gated Convolutional Networks with Hybrid Connectivity for Image Classification paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WideResNet 28-10 + CutMix (OneCycleLR scheduler) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the DenseNet-BC-190 + FMix model in the FMix: Enhancing Mixed Sample Data Augmentation paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ORN model in the Oriented Response Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Grafit (ResNet-50) model in the Grafit: Learning fine-grained image representations with coarse labels paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNeXt-50(32x4d) + AutoMix model in the AutoMix: Unveiling the Power of Mixup for Stronger Classifiers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the CCT-7/3x1+HTM+VTM model in the TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the HCGNet-A2 model in the Gated Convolutional Networks with Hybrid Connectivity for Image Classification paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Res2NeXt-29 model in the Res2Net: A New Multi-scale Backbone Architecture paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the DenseNet-BC-190 + Mixup model in the mixup: Beyond Empirical Risk Minimization paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the SSAL-DenseNet 190-40 model in the Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
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 CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN 28-10 model in the Neural networks with late-phase weights paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the R-Mix (ResNeXt 29-4-24) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Wide ResNet+Cutout+no BN scale/offset learning model in the Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN-16-8 with reSGHMC model in the Non-convex Learning via Replica Exchange Stochastic Gradient MCMC paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the DenseNet-BC model in the Densely Connected Convolutional Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the CCT-7/3x1* model in the Escaping the Big Data Paradigm with Compact Transformers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the SKNet-29 (ResNeXt-29, 16×32d) model in the Selective Kernel Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the DenseNet model in the Densely Connected Convolutional Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Shared WRN model in the Learning Implicitly Recurrent CNNs Through Parameter Sharing paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Transformer local-attention (NesT-B) model in the Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the RL-Mix (ResNeXt 29-4-24) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Mixer-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 R-Mix (WideResNet 16-8) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNeXt 29-4-24 + CutMix (OneCycleLR scheduler) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WARN model in the Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the RL-Mix (WideResNet 16-8) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WRN+SWA model in the Averaging Weights Leads to Wider Optima and Better Generalization paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Manifold Mixup model in the Manifold Mixup: Better Representations by Interpolating Hidden States paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the HCGNet-A1 model in the Gated Convolutional Networks with Hybrid Connectivity for Image Classification paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WideResNet 16-8 + CutMix (OneCycleLR scheduler) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Residual Gates + WRN model in the Learning Identity Mappings with Residual Gates paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the kNN-CLIP model in the Revisiting a kNN-based Image Classification System with High-capacity Storage paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the AA-Wide-ResNet model in the Attention Augmented Convolutional Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PDO-eConv (p8, 4.6M) model in the PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, 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 CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the R-Mix (PreActResNet-18) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Wide-ResNet-40-2 model in the Automatic Data Augmentation via Invariance-Constrained Learning paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Wide ResNet model in the Wide Residual Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the CoPaNet-R-164 model in the Deep Competitive Pathway Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the RL-Mix (PreActResNet-18) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PreActResNet-18 + CutMix (OneCycleLR scheduler) model in the Expeditious Saliency-guided Mix-up through Random Gradient Thresholding paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the SimpleNetv2 model in the Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the UPANets model in the UPANets: Learning from the Universal Pixel Attention Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PreActResNet-18 + SageMix model in the SageMix: Saliency-Guided Mixup for Point Clouds paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNet56 with reSGHMC model in the Non-convex Learning via Replica Exchange Stochastic Gradient MCMC paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PDO-eConv (p8, 2.62M) model in the PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the VGG11B(3x) + LocalLearning model in the Training Neural Networks with Local Error Signals paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the NNCLR model in the With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PreActResNet18 (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 SimpleNetv1 model in the Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PDC model in the Augmenting Deep Classifiers with Polynomial Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the MobileNetV3-large x1.0 (BSConv-U) model in the Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the CCT-6/3x1 model in the Escaping the Big Data Paradigm with Compact Transformers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNet-1001 model in the Identity Mappings in Deep Residual Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Evolution model in the Large-Scale Evolution of Image Classifiers paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the DIANet model in the DIANet: Dense-and-Implicit Attention Network paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the LP-BNN (ours) + cutout model in the Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNet-18+MM+FRL model in the Learning Class Unique Features in Fine-Grained Visual Classification paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNet32 with reSGHMC model in the Non-convex Learning via Replica Exchange Stochastic Gradient MCMC paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the MomentumNet model in the Momentum Residual Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the SSCNN model in the Spatially-sparse convolutional neural networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Exponential Linear Units model in the Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNet-9 model in the CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Stochastic Depth model in the Deep Networks with Stochastic Depth paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNet v2-110 (Mish activation) model in the Mish: A Self Regularized Non-Monotonic Activation Function paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Dspike (ResNet-18) model in the Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNet20 with reSGHMC model in the Non-convex Learning via Replica Exchange Stochastic Gradient MCMC paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the MixMatch model in the MixMatch: A Holistic Approach to Semi-Supervised Learning paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Fractional MP model in the Fractional Max-Pooling paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the ResNet+ELU model in the Deep Residual Networks with Exponential Linear Unit paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PDO-eConv (p6m,0.37M) model in the PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the SOPCNN model in the Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the PDO-eConv (p6,0.36M) model in the PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Tuned CNN model in the Scalable Bayesian Optimization Using Deep Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the CMsC model in the Competitive Multi-scale Convolution paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Fitnet4-LSUV model in the All you need is a good init paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the kMobileNet V3 Large 16ch model in the Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the BNM NiN model in the Batch-normalized Maxout Network in Network paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the OTTT model in the Online Training Through Time for Spiking Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
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 CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the WaveMix-Lite-256/7 model in the WaveMix: A Resource-efficient Neural Network for Image Analysis paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the IM-Loss (VGG-16) model in the IM-Loss: Information Maximization Loss for Spiking Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the NiN+APL model in the Learning Activation Functions to Improve Deep Neural Networks paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the SWWAE model in the Stacked What-Where Auto-encoders paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the NiN+Superclass+CDJ model in the Deep Convolutional Decision Jungle for Image Classification paper on the CIFAR-100 dataset? | Percentage correct, PARAMS, Accuracy |
What metrics were used to measure the Spectral Representations for Convolutional Neural Networks model in the Spectral Representations for Convolutional Neural Networks 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.