prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the LeViT-128 model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the DenseNet-BC-190 + batchboost model in the batchboost: regularization for stabilizing training with resistance to underfitting & overfitting paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the LeViT-128S model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Shared WRN model in the Learning Implicitly Recurrent CNNs Through Parameter Sharing paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Manifold Mixup WRN 28-10 model in the Manifold Mixup: Better Representations by Interpolating Hidden States paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the WRN 28-14 model in the Neural networks with late-phase weights paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the SparseSwin model in the SparseSwin: Swin Transformer with Sparse Transformer Block paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the NAT-M1 model in the Neural Architecture Transfer paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the DenseNet-BC-190 + Mixup model in the mixup: Beyond Empirical Risk Minimization paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the WaveMixLite-144/7 model in the WaveMix: A Resource-efficient Neural Network for Image Analysis paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the PyramidNet model in the EXACT: How to Train Your Accuracy paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ShakeShake-2x64d + SWA model in the Averaging Weights Leads to Wider Optima and Better Generalization paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the PyramidNet-200 + CutMix model in the CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ORN model in the Oriented Response Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ResNet_XnIDR model in the XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the WRN 28-10 model in the Neural networks with late-phase weights paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the AutoDropout model in the AutoDropout: Learning Dropout Patterns to Regularize Deep Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the WRN-28-10 + SWA model in the Averaging Weights Leads to Wider Optima and Better Generalization paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ConvMixer-256/16 model in the Patches Are All You Need? paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Wide ResNet+cutout model in the Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Deep pyramidal residual network model in the Deep Pyramidal Residual Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the CoPaNet-R-164 model in the Deep Competitive Pathway Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the DenseNet (DenseNet-BC-190) model in the Densely Connected Convolutional Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the SKNet-29 (ResNeXt-29, 16×32d) model in the Selective Kernel Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Fractional MP model in the Fractional Max-Pooling paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the UPANets model in the UPANets: Learning from the Universal Pixel Attention Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the NAS-RL model in the Neural Architecture Search with Reinforcement Learning paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the VGG11B(2x) + LocalLearning + CO model in the Training Neural Networks with Local Error Signals paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Residual Gates + WRN model in the Learning Identity Mappings with Residual Gates paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the PreActResNet18 (AMP) model in the Regularizing Neural Networks via Adversarial Model Perturbation paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ConvMixer-256/8 model in the Patches Are All You Need? paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Local Mixup Resnet18 model in the Preventing Manifold Intrusion with Locality: Local Mixup paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ResNet-50x1-ACG (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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ACN model in the Striving for Simplicity: The All Convolutional Net paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Evolution ensemble model in the Large-Scale Evolution of Image Classifiers paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ResNet-18 model in the Benchopt: Reproducible, efficient and collaborative optimization benchmarks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the IM-Loss (ResNet-19) model in the IM-Loss: Information Maximization Loss for Spiking Neural Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ResNet-1001 model in the Identity Mappings in Deep Residual Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the PSN (Modified PLIF Net) model in the Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the MomentumNet model in the Momentum Residual Neural Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Context-Aware Pipeline model in the Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the SRM-ResNet-56 model in the SRM : A Style-based Recalibration Module for Convolutional Neural Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the MixMatch model in the MixMatch: A Holistic Approach to Semi-Supervised Learning paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the WRN-22-8 (Sparse Momentum) model in the Sparse Networks from Scratch: Faster Training without Losing Performance paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the kEffNet-B0 V2 32ch + H Flip model in the An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Prodpoly model in the Deep Polynomial Neural Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Stochastic Depth model in the Deep Networks with Stochastic Depth paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the VGG-19 with GradInit model in the GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Evolution model in the Large-Scale Evolution of Image Classifiers paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the RL+NT model in the Efficient Architecture Search by Network Transformation paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Convolutional Performer for Vision (CPV) model in the Convolutional Xformers for Vision paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ResNet+ELU model in the Deep Residual Networks with Exponential Linear Unit paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Deep Complex model in the Deep Complex Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods model in the Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Fitnet4-LSUV model in the All you need is a good init paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ResNet 9 + Mish model in the Mish: A Self Regularized Non-Monotonic Activation Function paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
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 CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Standard ACNet model in the Adaptively Connected Neural Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the SA quadratic embedding model in the On the Relationship between Self-Attention and Convolutional Layers paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the kEffNet-B0 32ch model in the Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the OTTT model in the Online Training Through Time for Spiking Neural Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the SSCNN model in the Spatially-sparse convolutional neural networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Tuned CNN model in the Scalable Bayesian Optimization Using Deep Neural Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the BNM NiN model in the Batch-normalized Maxout Network in Network paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Universum Prescription model in the Universum Prescription: Regularization using Unlabeled Data paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the CMsC model in the Competitive Multi-scale Convolution paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, 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-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the VDN model in the Training Very Deep Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ResNet model in the A Bregman Learning Framework for Sparse Neural Networks paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the SWWAE model in the Stacked What-Where Auto-encoders paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the FlexTCN-7 model in the FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ReActNet-18 model in the "BNN - BN = ?": Training Binary Neural Networks without Batch Normalization paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the ResNet v2-20 (Mish activation) model in the Mish: A Self Regularized Non-Monotonic Activation Function paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the Context-Aware DNN tree model in the Context-aware deep model compression for edge cloud computing paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the DSN model in the Deeply-Supervised Nets paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
What metrics were used to measure the BinaryConnect model in the BinaryConnect: Training Deep Neural Networks with binary weights during propagations paper on the CIFAR-10 dataset? | Percentage correct, PARAMS, Top-1 Accuracy, Parameters, Accuracy |
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