prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the OptInter-M model in the Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the CELS model in the Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the OptFS model in the Optimizing Feature Set for Click-Through Rate Prediction paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the OptEmbed model in the OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the Sparse Deep FwFM model in the DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the FGCNN+IPNN model in the Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the AutoInt model in the AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the FinalMLP + MMBAttn model in the MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the DNN + MMBAttn model in the MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the AFN+ model in the Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the FLEN model in the FLEN: Leveraging Field for Scalable CTR Prediction paper on the Avazu dataset? | AUC, LogLoss |
What metrics were used to measure the OPNN model in the Product-based Neural Networks for User Response Prediction paper on the iPinYou dataset? | AUC, LogLoss |
What metrics were used to measure the IPNN model in the Product-based Neural Networks for User Response Prediction paper on the iPinYou dataset? | AUC, LogLoss |
What metrics were used to measure the OptInter model in the Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction paper on the iPinYou dataset? | AUC, LogLoss |
What metrics were used to measure the OptInter-M model in the Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction paper on the iPinYou dataset? | AUC, LogLoss |
What metrics were used to measure the PNN* model in the Product-based Neural Networks for User Response Prediction paper on the iPinYou dataset? | AUC, LogLoss |
What metrics were used to measure the FNN model in the Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction paper on the iPinYou dataset? | AUC, LogLoss |
What metrics were used to measure the GDCN model in the Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the MemoNet model in the MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the FinalMLP + MMBAttn model in the MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the FinalMLP model in the FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the STEC model in the STEC: See-Through Transformer-based Encoder for CTR Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the DNN + MMBAttn model in the MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the MaskNet model in the MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the DeepLight model in the DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the CELS model in the Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the OptFS model in the Optimizing Feature Set for Click-Through Rate Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the DCN V2 model in the DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the OptEmbed model in the OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the ContextNet model in the ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the FiBiNet++ model in the FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the NormDNN model in the Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the DeepFFM model in the FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the FiBiNET model in the FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the OptInter model in the Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the GateNet model in the GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the AFN+ model in the Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the XCrossNet model in the XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the Fi-GNN model in the Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the AutoInt model in the AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the Clustered Compositional Embeddings model in the Clustering the Sketch: A Novel Approach to Embedding Table Compression paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the xDeepFM model in the xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the WMLFF model in the Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the FINN model in the Feature Interaction based Neural Network for Click-Through Rate Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the AutoDeepFM(3rd) model in the AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the DeepFM model in the DeepFM: A Factorization-Machine based Neural Network for CTR Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the TFNet model in the TFNet: Multi-Semantic Feature Interaction for CTR Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the PNN* model in the Product-based Neural Networks for User Response Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the OPNN model in the Product-based Neural Networks for User Response Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the Wide&Deep model in the Wide & Deep Learning for Recommender Systems paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the IPNN model in the Product-based Neural Networks for User Response Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the FNN model in the Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction paper on the Criteo dataset? | AUC, Log Loss |
What metrics were used to measure the DIN + Dice Activation model in the Deep Interest Network for Click-Through Rate Prediction paper on the Amazon dataset? | AUC |
What metrics were used to measure the DIN model in the Deep Interest Network for Click-Through Rate Prediction paper on the Amazon dataset? | AUC |
What metrics were used to measure the DeepFM model in the DeepFM: A Factorization-Machine based Neural Network for CTR Prediction paper on the Amazon dataset? | AUC |
What metrics were used to measure the PNN model in the Product-based Neural Networks for User Response Prediction paper on the Amazon dataset? | AUC |
What metrics were used to measure the Wide & Deep model in the Wide & Deep Learning for Recommender Systems paper on the Amazon dataset? | AUC |
What metrics were used to measure the DeepFM model in the DeepFM: A Factorization-Machine based Neural Network for CTR Prediction paper on the Company* dataset? | AUC, Log Loss |
What metrics were used to measure the FNN model in the Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction paper on the Company* dataset? | AUC, Log Loss |
What metrics were used to measure the Wide & Deep (LR & DNN) model in the Wide & Deep Learning for Recommender Systems paper on the Company* dataset? | AUC, Log Loss |
What metrics were used to measure the PNN* model in the Product-based Neural Networks for User Response Prediction paper on the Company* dataset? | AUC, Log Loss |
What metrics were used to measure the IPNN model in the Product-based Neural Networks for User Response Prediction paper on the Company* dataset? | AUC, Log Loss |
What metrics were used to measure the Wide & Deep (FM & DNN) model in the Wide & Deep Learning for Recommender Systems paper on the Company* dataset? | AUC, Log Loss |
What metrics were used to measure the OPNN model in the Product-based Neural Networks for User Response Prediction paper on the Company* dataset? | AUC, Log Loss |
What metrics were used to measure the DeepMCP model in the Representation Learning-Assisted Click-Through Rate Prediction paper on the Company* dataset? | AUC, Log Loss |
What metrics were used to measure the xDeepFM model in the xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems paper on the Dianping dataset? | AUC, Log Loss |
What metrics were used to measure the DeepFM model in the DeepFM: A Factorization-Machine based Neural Network for CTR Prediction paper on the Dianping dataset? | AUC, Log Loss |
What metrics were used to measure the PNN model in the Product-based Neural Networks for User Response Prediction paper on the Dianping dataset? | AUC, Log Loss |
What metrics were used to measure the Wide & Deep model in the Wide & Deep Learning for Recommender Systems paper on the Dianping dataset? | AUC, Log Loss |
What metrics were used to measure the DNN model in the xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems paper on the Dianping dataset? | AUC, Log Loss |
What metrics were used to measure the impl.-nodepth model in the Geometry-Free View Synthesis: Transformers and no 3D Priors paper on the ACID dataset? | FID, NLL, PSIM, PSNR, SSIM |
What metrics were used to measure the hybrid model in the Geometry-Free View Synthesis: Transformers and no 3D Priors paper on the ACID dataset? | FID, NLL, PSIM, PSNR, SSIM |
What metrics were used to measure the impl.-catdepth model in the Geometry-Free View Synthesis: Transformers and no 3D Priors paper on the ACID dataset? | FID, NLL, PSIM, PSNR, SSIM |
What metrics were used to measure the TensoRF + NeRFLiX++ model in the From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm paper on the Tanks and Temples dataset? | PSNR, SSIM |
What metrics were used to measure the TensoRF + NeRFLiX model in the NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer paper on the Tanks and Temples dataset? | PSNR, SSIM |
What metrics were used to measure the Plenoxels + NeRFLiX model in the NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer paper on the Tanks and Temples dataset? | PSNR, SSIM |
What metrics were used to measure the DIVeR + NeRFLiX model in the NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer paper on the Tanks and Temples dataset? | PSNR, SSIM |
What metrics were used to measure the TensoRF + NeRFLiX model in the NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the JAXNeRF model in the MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the K-Planes (hybrid) model in the K-Planes: Explicit Radiance Fields in Space, Time, and Appearance paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the Plenoxels + NeRFLiX model in the NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the K-Planes (explicit) model in the K-Planes: Explicit Radiance Fields in Space, Time, and Appearance paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the TensoRF model in the K-Planes: Explicit Radiance Fields in Space, Time, and Appearance paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the NeRF model in the MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the Plenoxels model in the K-Planes: Explicit Radiance Fields in Space, Time, and Appearance paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the HyperReel model in the HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the MobileNeRF model in the MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the AdaNeRF model in the HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the SNeRG model in the MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the Instant NGP model in the HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the TermiNeRF model in the HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the DoNeRF model in the HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling paper on the LLFF dataset? | PSNR, LPIPS, SSIM |
What metrics were used to measure the Hybrid model in the Geometry-Free View Synthesis: Transformers and no 3D Priors paper on the RealEstate10K dataset? | FID, NLL, PSIM, PSNR, SSIM |
What metrics were used to measure the Impl.-depth model in the Geometry-Free View Synthesis: Transformers and no 3D Priors paper on the RealEstate10K dataset? | FID, NLL, PSIM, PSNR, SSIM |
What metrics were used to measure the I-NGP model in the K-Planes: Explicit Radiance Fields in Space, Time, and Appearance paper on the NeRF dataset? | PSNR, SSIM, LPIPS, Average PSNR |
What metrics were used to measure the TensoRF model in the K-Planes: Explicit Radiance Fields in Space, Time, and Appearance paper on the NeRF dataset? | PSNR, SSIM, LPIPS, Average PSNR |
What metrics were used to measure the K-Planes (hybrid) model in the K-Planes: Explicit Radiance Fields in Space, Time, and Appearance paper on the NeRF dataset? | PSNR, SSIM, LPIPS, Average PSNR |
What metrics were used to measure the K-Planes (explicit) model in the K-Planes: Explicit Radiance Fields in Space, Time, and Appearance paper on the NeRF dataset? | PSNR, SSIM, LPIPS, Average PSNR |
What metrics were used to measure the Plenoxels model in the K-Planes: Explicit Radiance Fields in Space, Time, and Appearance paper on the NeRF dataset? | PSNR, SSIM, LPIPS, Average PSNR |
What metrics were used to measure the JAXNeRF model in the MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures paper on the NeRF dataset? | PSNR, SSIM, LPIPS, Average PSNR |
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