prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Large-scale rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the VOC_all dataset? | Detection Rate |
What metrics were used to measure the rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the VOC_all dataset? | Detection Rate |
What metrics were used to measure the Large-scale rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the COCO_20k dataset? | Detection Rate |
What metrics were used to measure the Unified-IOXL model in the Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks paper on the GRIT dataset? | Segmentation (ablation), Segmentation (test) |
What metrics were used to measure the Mask R-CNN model in the Mask R-CNN paper on the GRIT dataset? | Segmentation (ablation), Segmentation (test) |
What metrics were used to measure the NCC Next model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Average AD-Accuracy |
What metrics were used to measure the SK model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Average AD-Accuracy |
What metrics were used to measure the Hutom model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Average AD-Accuracy |
What metrics were used to measure the MediCIS Task 5 model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Average AD-Accuracy |
What metrics were used to measure the CNN model in the Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks paper on the Website Traffic Data on Tor dataset? | Accuracy (%) |
What metrics were used to measure the Human baseline model in the Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines paper on the Contract Discovery dataset? | Soft-F1 |
What metrics were used to measure the k-NN with sentence n-grams, GPT-2 embeddings, fICA model in the Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines paper on the Contract Discovery dataset? | Soft-F1 |
What metrics were used to measure the DBTW, GPT-1 embeddings, fICA model in the Dynamic Boundary Time Warping for Sub-sequence Matching with Few Examples paper on the Contract Discovery dataset? | Soft-F1 |
What metrics were used to measure the LSA baseline model in the Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines paper on the Contract Discovery dataset? | Soft-F1 |
What metrics were used to measure the Universal Sentence Encoder model in the Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines paper on the Contract Discovery dataset? | Soft-F1 |
What metrics were used to measure the Sentence BERT model in the Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines paper on the Contract Discovery dataset? | Soft-F1 |
What metrics were used to measure the [M6, Proposed] Logistic Regression model in the Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion paper on the custom dataset? | Average F1 |
What metrics were used to measure the FOL-MaxSTD (pred only) model in the Unsupervised Traffic Accident Detection in First-Person Videos paper on the A3D dataset? | AUC |
What metrics were used to measure the Conv-AE model in the Learning Temporal Regularity in Video Sequences paper on the A3D dataset? | AUC |
What metrics were used to measure the State-of-the-art model in the Future Frame Prediction for Anomaly Detection -- A New Baseline paper on the A3D dataset? | AUC |
What metrics were used to measure the FOL-MaxSTD (pred only) model in the Unsupervised Traffic Accident Detection in First-Person Videos paper on the SA dataset? | AUC |
What metrics were used to measure the Conv-AE model in the Learning Temporal Regularity in Video Sequences paper on the SA dataset? | AUC |
What metrics were used to measure the State-of-the-art model in the Future Frame Prediction for Anomaly Detection -- A New Baseline paper on the SA dataset? | AUC |
What metrics were used to measure the Human model in the Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines paper on the commonsense-rl dataset? | Avg #Steps |
What metrics were used to measure the Optimal model in the Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines paper on the commonsense-rl dataset? | Avg #Steps |
What metrics were used to measure the TNC-A2C model in the Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines paper on the commonsense-rl dataset? | Avg #Steps |
What metrics were used to measure the LSTM-A2C model in the Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines paper on the commonsense-rl dataset? | Avg #Steps |
What metrics were used to measure the KG-A2C model in the Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines paper on the commonsense-rl dataset? | Avg #Steps |
What metrics were used to measure the Neighbour Learning model in the Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups paper on the UTKFace dataset? | Degree of Bias (DoB) |
What metrics were used to measure the Neighbour Learning model in the Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups paper on the DiveFace dataset? | Degree of Bias (DoB) |
What metrics were used to measure the Neighbour Learning model in the Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups paper on the MORPH dataset? | Degree of Bias (DoB) |
What metrics were used to measure the PNGAN model in the Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training paper on the SIDD dataset? | PSNR Gap, Average KL Divergence |
What metrics were used to measure the DANet model in the Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation paper on the SIDD dataset? | PSNR Gap, Average KL Divergence |
What metrics were used to measure the GRDN model in the GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling paper on the SIDD dataset? | PSNR Gap, Average KL Divergence |
What metrics were used to measure the ULRD model in the Unprocessing Images for Learned Raw Denoising paper on the SIDD dataset? | PSNR Gap, Average KL Divergence |
What metrics were used to measure the CBDNet model in the Toward Convolutional Blind Denoising of Real Photographs paper on the SIDD dataset? | PSNR Gap, Average KL Divergence |
What metrics were used to measure the 15RDLs model in the paper on the Measles dataset? | Accuracy (%) |
What metrics were used to measure the 9RDLs model in the paper on the Measles dataset? | Accuracy (%) |
What metrics were used to measure the 3 RMDL model in the paper on the Measles dataset? | Accuracy (%) |
What metrics were used to measure the CNN model in the Measles Rash Identification Using Residual Deep Convolutional Neural Network paper on the Measles dataset? | Accuracy (%) |
What metrics were used to measure the RMDL model in the RMDL: Random Multimodel Deep Learning for Classification paper on the Measles dataset? | Accuracy (%) |
What metrics were used to measure the model in the RMDL: Random Multimodel Deep Learning for Classification paper on the UCI measles dataset? | Sensitivity, Sensitivity (VEB) |
What metrics were used to measure the RMDL 3 RDLs model in the RMDL: Random Multimodel Deep Learning for Classification paper on the UCI measles dataset? | Sensitivity, Sensitivity (VEB) |
What metrics were used to measure the RMDL (30 RDLs) model in the RMDL: Random Multimodel Deep Learning for Classification paper on the UCI measles dataset? | Sensitivity, Sensitivity (VEB) |
What metrics were used to measure the FedASAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedAvg model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Landmarks-User-160k dataset? | Acc@1-1262Clients |
What metrics were used to measure the FedSAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Landmarks-User-160k dataset? | Acc@1-1262Clients |
What metrics were used to measure the FedAvg + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Landmarks-User-160k dataset? | Acc@1-1262Clients |
What metrics were used to measure the FedASAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Landmarks-User-160k dataset? | Acc@1-1262Clients |
What metrics were used to measure the FedSAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Landmarks-User-160k dataset? | Acc@1-1262Clients |
What metrics were used to measure the FedAvg model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Landmarks-User-160k dataset? | Acc@1-1262Clients |
What metrics were used to measure the FedASAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 5 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 5 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 5 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 5 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedAvg model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 5 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedAvg model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 5 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 5 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 5 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 5 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedAvg model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0, 5 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0.5, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0.5, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0.5, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0.5, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedAvg model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0.5, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0.5, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0.5, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0.5, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0.5, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedAvg model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=0.5, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the AdaBest model in the AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation paper on the CIFAR100 (alpha=0.3, 10 clients per round) dataset? | Average Top-1 Accuracy |
What metrics were used to measure the FedASAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedAvg model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 20 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedASAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedSAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the FedAvg model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the CIFAR-100 (alpha=1000, 10 clients per round) dataset? | ACC@1-100Clients |
What metrics were used to measure the SiloBN + ASAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Cityscapes heterogeneous dataset? | mIoU |
What metrics were used to measure the SiloBN + SAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Cityscapes heterogeneous dataset? | mIoU |
What metrics were used to measure the SiloBN model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Cityscapes heterogeneous dataset? | mIoU |
What metrics were used to measure the FedSAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Cityscapes heterogeneous dataset? | mIoU |
What metrics were used to measure the FedASAM + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Cityscapes heterogeneous dataset? | mIoU |
What metrics were used to measure the FedAvg + SWA model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Cityscapes heterogeneous dataset? | mIoU |
What metrics were used to measure the FedASAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Cityscapes heterogeneous dataset? | mIoU |
What metrics were used to measure the FedSAM model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Cityscapes heterogeneous dataset? | mIoU |
What metrics were used to measure the FedAvg model in the Improving Generalization in Federated Learning by Seeking Flat Minima paper on the Cityscapes heterogeneous dataset? | mIoU |
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