prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Piggyback model in the Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights paper on the Sketch (Fine-grained 6 Tasks) dataset? | Accuracy |
What metrics were used to measure the ProgressiveNet model in the Progressive Neural Networks paper on the Sketch (Fine-grained 6 Tasks) dataset? | Accuracy |
What metrics were used to measure the H$^{2}$ model in the Helpful or Harmful: Inter-Task Association in Continual Learning paper on the Sketch (Fine-grained 6 Tasks) dataset? | Accuracy |
What metrics were used to measure the PackNet model in the PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning paper on the Sketch (Fine-grained 6 Tasks) dataset? | Accuracy |
What metrics were used to measure the CAT (CNN backbone) model in the Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks paper on the F-CelebA (10 tasks) dataset? | Acc |
What metrics were used to measure the CAT (MLP backbone) model in the Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks paper on the F-CelebA (10 tasks) dataset? | Acc |
What metrics were used to measure the EWC model in the Overcoming catastrophic forgetting in neural networks paper on the F-CelebA (10 tasks) dataset? | Acc |
What metrics were used to measure the HyperNet model in the Continual learning with hypernetworks paper on the F-CelebA (10 tasks) dataset? | Acc |
What metrics were used to measure the PathNet model in the PathNet: Evolution Channels Gradient Descent in Super Neural Networks paper on the F-CelebA (10 tasks) dataset? | Acc |
What metrics were used to measure the HAT model in the Overcoming catastrophic forgetting with hard attention to the task paper on the F-CelebA (10 tasks) dataset? | Acc |
What metrics were used to measure the RPSNet model in the Random Path Selection for Continual Learning paper on the F-CelebA (10 tasks) dataset? | Acc |
What metrics were used to measure the MRM model in the MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition paper on the MLT17 dataset? | Acc |
What metrics were used to measure the CTR model in the Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning paper on the DSC (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the CAT model in the Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks paper on the DSC (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the HAT model in the Overcoming catastrophic forgetting with hard attention to the task paper on the DSC (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the KAN model in the Continual Learning with Knowledge Transfer for Sentiment Classification paper on the DSC (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the B-CL model in the Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks paper on the DSC (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the EWC model in the Overcoming catastrophic forgetting in neural networks paper on the DSC (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the TAG-RMSProp model in the TAG: Task-based Accumulated Gradients for Lifelong learning paper on the CUB-200-2011 (20 tasks) - 1 epoch dataset? | Accuracy |
What metrics were used to measure the NetTailor model in the NetTailor: Tuning the Architecture, Not Just the Weights paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the Depthwise Soft Sharing model in the Depthwise Convolution is All You Need for Learning Multiple Visual Domains paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the Parallel Res. adapt. model in the Efficient parametrization of multi-domain deep neural networks paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the Depthwise Sharing model in the Depthwise Convolution is All You Need for Learning Multiple Visual Domains paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the Series Res. adapt. model in the Efficient parametrization of multi-domain deep neural networks paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the Res. adapt. (large) model in the Learning multiple visual domains with residual adapters paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the DAN model in the Incremental Learning Through Deep Adaptation paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the Piggyback model in the Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the Res. adapt. finetune all model in the Learning multiple visual domains with residual adapters paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the Res. adapt. decay model in the Learning multiple visual domains with residual adapters paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the LwF model in the Learning without Forgetting paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the Res. adapt. dom-pred model in the Learning multiple visual domains with residual adapters paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the Res. adapt. model in the Learning multiple visual domains with residual adapters paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the BN adapt. model in the Universal representations:The missing link between faces, text, planktons, and cat breeds paper on the visual domain decathlon (10 tasks) dataset? | decathlon discipline (Score), Avg. Accuracy |
What metrics were used to measure the RMN model in the Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping paper on the ImageNet-50 (5 tasks) dataset? | Accuracy |
What metrics were used to measure the CondConvContinual model in the EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING paper on the ImageNet-50 (5 tasks) dataset? | Accuracy |
What metrics were used to measure the CCGN model in the Conditional Channel Gated Networks for Task-Aware Continual Learning paper on the ImageNet-50 (5 tasks) dataset? | Accuracy |
What metrics were used to measure the DGMw model in the Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning paper on the ImageNet-50 (5 tasks) dataset? | Accuracy |
What metrics were used to measure the DGMa model in the Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning paper on the ImageNet-50 (5 tasks) dataset? | Accuracy |
What metrics were used to measure the Model Zoo-Continual model in the Model Zoo: A Growing "Brain" That Learns Continually paper on the Cifar100 (20 tasks) dataset? | Average 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 Cifar100 (20 tasks) dataset? | Average Accuracy |
What metrics were used to measure the RMN model in the Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping paper on the Cifar100 (20 tasks) dataset? | Average Accuracy |
What metrics were used to measure the CPG model in the Compacting, Picking and Growing for Unforgetting Continual Learning paper on the Cifar100 (20 tasks) dataset? | Average Accuracy |
What metrics were used to measure the CondConvContinual model in the EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING paper on the Cifar100 (20 tasks) dataset? | Average Accuracy |
What metrics were used to measure the PAENet model in the Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning paper on the Cifar100 (20 tasks) dataset? | Average Accuracy |
What metrics were used to measure the CPG-light model in the EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING paper on the Cifar100 (20 tasks) dataset? | Average Accuracy |
What metrics were used to measure the PackNet model in the PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning paper on the Cifar100 (20 tasks) dataset? | Average Accuracy |
What metrics were used to measure the TAG-RMSProp model in the TAG: Task-based Accumulated Gradients for Lifelong learning paper on the 5-dataset - 1 epoch dataset? | Accuracy |
What metrics were used to measure the H$^{2}$ model in the Helpful or Harmful: Inter-Task Association in Continual Learning paper on the Split CIFAR-10 (5 tasks) dataset? | Top 1 Accuracy % |
What metrics were used to measure the CTR model in the Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning paper on the 20Newsgroup (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the HAT model in the Overcoming catastrophic forgetting with hard attention to the task paper on the 20Newsgroup (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the CAT model in the Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks paper on the 20Newsgroup (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the B-CL model in the Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks paper on the 20Newsgroup (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the EWC model in the Overcoming catastrophic forgetting in neural networks paper on the 20Newsgroup (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the LAMOL model in the LAMOL: LAnguage MOdeling for Lifelong Language Learning paper on the 20Newsgroup (10 tasks) dataset? | F1 - macro |
What metrics were used to measure the Model Zoo-Continual model in the Model Zoo: A Growing "Brain" That Learns Continually paper on the Coarse-CIFAR100 dataset? | Average Accuracy |
What metrics were used to measure the RGT model in the MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark paper on the MGTAB dataset? | Acc, F1 |
What metrics were used to measure the BotRGCN model in the MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark paper on the MGTAB dataset? | Acc, F1 |
What metrics were used to measure the GAT model in the MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark paper on the MGTAB dataset? | Acc, F1 |
What metrics were used to measure the GCN model in the MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark paper on the MGTAB dataset? | Acc, F1 |
What metrics were used to measure the DNA String Compression - Compression Ratio model in the Detecting Bot Behaviour in Social Media using Digital DNA Compression paper on the MIB Dataset dataset? | Accuracy |
What metrics were used to measure the NP-BLSTM-DAE model in the Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection paper on the A3Lab PASCAL CHiME dataset? | F1 |
What metrics were used to measure the VRNN model in the Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection paper on the A3Lab PASCAL CHiME dataset? | F1 |
What metrics were used to measure the BLSTM-DAE model in the A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks paper on the A3Lab PASCAL CHiME dataset? | F1 |
What metrics were used to measure the Mesh R-CNN model in the Mesh R-CNN paper on the Pix3D S1 dataset? | box AP, mask AP, mesh AP |
What metrics were used to measure the Mesh R-CNN model in the Mesh R-CNN paper on the Pix3D S2 dataset? | box AP, mask AP, mesh AP |
What metrics were used to measure the Bert model in the Are These Birds Similar: Learning Branched Networks for Fine-grained Representations paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the Bert model in the Image and Text fusion for UPMC Food-101 \\using BERT and CNNs paper on the Food-101 dataset? | Accuracy (%) |
What metrics were used to measure the Optimized Text CNN model in the Light-Weighted CNN for Text Classification paper on the Tobacco-3482 dataset? | Accuracy, Training time (hours) |
What metrics were used to measure the Lightweight TextCNN with Dual Optimizer model in the Light-Weighted CNN for Text Classification paper on the Tobacco-3482 dataset? | Accuracy, Training time (hours) |
What metrics were used to measure the Lightweight Text CNN model in the Light-Weighted CNN for Text Classification paper on the Tobacco-3482 dataset? | Accuracy, Training time (hours) |
What metrics were used to measure the Optimized Text CNN model in the Light-Weighted CNN for Text Classification paper on the Tobacco small-3482 dataset? | Accuracy, Training time (min) |
What metrics were used to measure the Lightweight TextCNN with Dual Optimizer model in the Light-Weighted CNN for Text Classification paper on the Tobacco small-3482 dataset? | Accuracy, Training time (min) |
What metrics were used to measure the Lightweight Text CNN model in the Light-Weighted CNN for Text Classification paper on the Tobacco small-3482 dataset? | Accuracy, Training time (min) |
What metrics were used to measure the Siarohin et al. model in the Motion Representations for Articulated Animation paper on the VoxCeleb dataset? | AED, AKD, L1 |
What metrics were used to measure the FOMM model in the Motion Representations for Articulated Animation paper on the VoxCeleb dataset? | AED, AKD, L1 |
What metrics were used to measure the Siarohin et al. model in the Motion Representations for Articulated Animation paper on the TED-talks dataset? | AED, AKD, L1, MKR |
What metrics were used to measure the FOMM model in the Motion Representations for Articulated Animation paper on the TED-talks dataset? | AED, AKD, L1, MKR |
What metrics were used to measure the Siarohin et al. model in the Motion Representations for Articulated Animation paper on the MGif dataset? | L1 |
What metrics were used to measure the FOMM model in the Motion Representations for Articulated Animation paper on the MGif dataset? | L1 |
What metrics were used to measure the Siarohin et al. model in the Motion Representations for Articulated Animation paper on the Tai-Chi-HD (512) dataset? | AED, AKD, L1, MKR |
What metrics were used to measure the FOMM model in the Motion Representations for Articulated Animation paper on the Tai-Chi-HD (512) dataset? | AED, AKD, L1, MKR |
What metrics were used to measure the HiNeRV model in the HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation paper on the UVG dataset? | Average PSNR (dB), Model Size (M) |
What metrics were used to measure the FFNeRV model in the FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos paper on the UVG dataset? | Average PSNR (dB), Model Size (M) |
What metrics were used to measure the HNeRV model in the HNeRV: A Hybrid Neural Representation for Videos paper on the UVG dataset? | Average PSNR (dB), Model Size (M) |
What metrics were used to measure the E-NeRV model in the E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context paper on the UVG dataset? | Average PSNR (dB), Model Size (M) |
What metrics were used to measure the PS-NeRV model in the PS-NeRV: Patch-wise Stylized Neural Representations for Videos paper on the UVG dataset? | Average PSNR (dB), Model Size (M) |
What metrics were used to measure the NeRV model in the NeRV: Neural Representations for Videos paper on the UVG dataset? | Average PSNR (dB), Model Size (M) |
What metrics were used to measure the First Order Motion model in the First Order Motion Model for Image Animation paper on the Tai-Chi-HD dataset? | L1 |
What metrics were used to measure the Siarohin et al. model in the Motion Representations for Articulated Animation paper on the Tai-Chi-HD (256) dataset? | AED, AKD, L1, MKR |
What metrics were used to measure the FOMM model in the Motion Representations for Articulated Animation paper on the Tai-Chi-HD (256) dataset? | AED, AKD, L1, MKR |
What metrics were used to measure the IAM4VP model in the Implicit Stacked Autoregressive Model for Video Prediction paper on the SEVIR dataset? | MSE, mCSI |
What metrics were used to measure the Earthformer model in the Earthformer: Exploring Space-Time Transformers for Earth System Forecasting paper on the SEVIR dataset? | MSE, mCSI |
What metrics were used to measure the ConvLSTM model in the Earthformer: Exploring Space-Time Transformers for Earth System Forecasting paper on the SEVIR dataset? | MSE, mCSI |
What metrics were used to measure the PredRNN model in the PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning paper on the SEVIR dataset? | MSE, mCSI |
What metrics were used to measure the Rainformer model in the Rainformer: Features Extraction Balanced Network for Radar-Based Precipitation Nowcasting paper on the SEVIR dataset? | MSE, mCSI |
What metrics were used to measure the UNet model in the SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology paper on the SEVIR dataset? | MSE, mCSI |
What metrics were used to measure the E3D-LSTM model in the Eidetic 3D LSTM: A Model for Video Prediction and Beyond paper on the SEVIR dataset? | MSE, mCSI |
What metrics were used to measure the PhyDNet model in the Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction paper on the SEVIR dataset? | MSE, mCSI |
What metrics were used to measure the SNN Ens U MT Np SpecFE model in the More layers! End-to-end regression and uncertainty on tabular data with deep learning paper on the Shifts dataset? | R-AUC MSE |
What metrics were used to measure the CatBoost with RMSEWithUncertainty model in the Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks paper on the Shifts dataset? | R-AUC MSE |
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