prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SelfSup-RelativePatchLoc-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 Unconditional-BigGAN-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 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 VAE 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 WAE-MMD 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 Conditional-BigGAN 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 WAE-GAN 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 WAE-UKL 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 Branching/Merging CNN + Homogeneous Vector Capsules model in the No Routing Needed Between Capsules paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the EnsNet (Ensemble learning in CNN augmented with fully connected subnetworks) model in the Ensemble learning in CNN augmented with fully connected subnetworks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Efficient-CapsNet model in the Efficient-CapsNet: Capsule Network with Self-Attention Routing paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the SOPCNN (Only a single Model) model in the Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the RMDL (30 RDLs) model in the RMDL: Random Multimodel Deep Learning for Classification paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the DropConnect model in the Regularization of Neural Networks using DropConnect paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the MCDNN model in the Multi-column Deep Neural Networks for Image Classification paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the APAC model in the APAC: Augmented PAttern Classification with Neural Networks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the BNM NiN model in the Batch-normalized Maxout Network in Network paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
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 MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the CapsNet model in the Dynamic Routing Between Capsules paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the VGG8B + LocalLearning + CO model in the Training Neural Networks with Local Error Signals paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the VGG-5 (Spinal FC) model in the SpinalNet: Deep Neural Network with Gradual Input paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the TextCaps model in the TextCaps : Handwritten Character Recognition with Very Small Datasets paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the ExquisiteNetV2 model in the A Novel lightweight Convolutional Neural Network, ExquisiteNetV2 paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the WaveMix-128/7 model in the WaveMix: Resource-efficient Token Mixing for Images paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Fractional MP model in the Fractional Max-Pooling paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the RCNN-96 model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
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 MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the CMsC model in the Competitive Multi-scale Convolution paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Second Order Neural Ordinary Differential Equation model in the On Second Order Behaviour in Augmented Neural ODEs paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Augmented Neural Ordinary Differential Equation model in the Augmented Neural ODEs paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Energy-Based Sparse Represenation model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the DBSNN model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the DSN model in the Deeply-Supervised Nets paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the CKN model in the Convolutional Kernel Networks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the C-SVDDNet model in the Unsupervised Feature Learning with C-SVDDNet paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the HOPE model in the Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural Networks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
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 MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the MLR DNN model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
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 MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Fitnet-LSUV-SVM model in the All you need is a good init paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Deformation Models model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Trainable feature extractor model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the The Best Multi-Stage Architecture model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the COSFIRE model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Maxout Networks model in the Maxout Networks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the NiN model in the Network In Network paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the ReNet model in the ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the DCNN+GFE model in the Deep Convolutional Neural Networks as Generic Feature Extractors paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the VDN model in the Training Very Deep Networks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the NeuPDE model in the NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Simple CNN with BaikalCMA loss model in the Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
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 MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Convolutional Tsetlin Machine model in the The Convolutional Tsetlin Machine paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Shape contexts model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the ISVM model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the invariant feature hierarchies model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Sparse Coding model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Receptive Field Learning model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the PCANet model in the PCANet: A Simple Deep Learning Baseline for Image Classification? paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the DiffPrune (LeNet5) model in the DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and $L_0$ Regularization paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the CNN+Gabor Filters model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the On Optimization Methods for Deep Learning model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Deep Fried Convnets model in the Deep Fried Convnets paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the CDBN model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Supervised Translation-Invariant Sparse Coding model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Sparse Activity and Sparse Connectivity in Supervised Learning model in the Sparse Activity and Sparse Connectivity in Supervised Learning paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Explaining and Harnessing Adversarial Examples model in the Explaining and Harnessing Adversarial Examples paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Large-Margin kNN model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Deep Boltzmann Machines model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the BinaryConnect model in the BinaryConnect: Training Deep Neural Networks with binary weights during propagations paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the DBN model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the StrongNet model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the CNN model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Reducing the dimensionality of data with neural networks model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the LeNet 300-100 (Sparse Momentum) model in the Sparse Networks from Scratch: Faster Training without Losing Performance paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Convolutional Clustering model in the Convolutional Clustering for Unsupervised Learning paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the CNN Model by Som model in the Convolutional Sequence to Sequence Learning paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Weighted Tsetlin Machine model in the The Weighted Tsetlin Machine: Compressed Representations with Weighted Clauses paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Deep learning via semi-supervised embedding model in the paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Perceptron with a tensor train layer model in the Tensorizing Neural Networks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the ANODE model in the Augmented Neural ODEs paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Tsetlin Machine model in the The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the DNN-5 (Trainable Activations) model in the Trainable Activations for Image Classification paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the DNN-3 (Trainable Activations) model in the Trainable Activations for Image Classification paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the DNN-2 (Trainable Activations) model in the Trainable Activations for Image Classification paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Zhao et al. (2015) (auto-encoder) model in the Stacked What-Where Auto-encoders paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the ProjectionNet model in the ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
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 MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the MobileNet_XnODR model in the XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
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 MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the PyramidNet model in the EXACT: How to Train Your Accuracy paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the FastSNN (CNN) model in the Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the CNN-5 Layer model in the Robust Training in High Dimensions via Block Coordinate Geometric Median Descent paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the StiDi-BP in R-CSNN model in the Spike time displacement based error backpropagation in convolutional spiking neural networks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the FastSNN (MLP) model in the Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Binarized MLP with on-chip spiking backpropagation (on Loihi) model in the The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the pFedBreD_ns_mg model in the Personalized Federated Learning with Hidden Information on Personalized Prior paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the Backpropagation Neural tree model in the Backpropagation Neural Tree paper on the MNIST dataset? | Percentage error, Accuracy, Trainable Parameters, Error rate |
What metrics were used to measure the efficient adaptive ensembling model in the Efficient Adaptive Ensembling for Image Classification paper on the Stanford Cars dataset? | Accuracy |
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