prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GDI-I3 model in the Generalized Data Distribution Iteration paper on the Atari 2600 Pitfall! dataset? | Score |
What metrics were used to measure the DNA model in the DNA: Proximal Policy Optimization with a Dual Network Architecture paper on the Atari 2600 Pitfall! dataset? | Score |
What metrics were used to measure the SND-V model in the Exploration by self-supervised exploitation paper on the Atari 2600 Pitfall! dataset? | Score |
What metrics were used to measure the SND-VIC model in the Exploration by self-supervised exploitation paper on the Atari 2600 Pitfall! dataset? | Score |
What metrics were used to measure the ASL DDQN model in the Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity paper on the Atari 2600 Pitfall! dataset? | Score |
What metrics were used to measure the RND model in the Exploration by Random Network Distillation paper on the Atari 2600 Pitfall! dataset? | Score |
What metrics were used to measure the Ape-X model in the Distributed Prioritized Experience Replay paper on the Atari 2600 Pitfall! dataset? | Score |
What metrics were used to measure the IMPALA (deep) model in the IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures paper on the Atari 2600 Pitfall! dataset? | Score |
What metrics were used to measure the GDI-H3 model in the Generalized Data Distribution Iteration paper on the Atari 2600 Pitfall! dataset? | Score |
What metrics were used to measure the ParsBERT+PCapsNet +SA+Title+ Auxiliary model in the A Deep Content-Based Model for Persian Rumor Verification paper on the Sepehr_RumTel01 dataset? | F-Measure |
What metrics were used to measure the BERT-SAWS model in the A semi-supervised model for Persian rumor verification based on content information paper on the Sepehr_RumTel01 dataset? | F-Measure |
What metrics were used to measure the Jahanbakhsh-Nagadeh et al. model in the A Model to Measure the Spread Power of Rumors paper on the Sepehr_RumTel01 dataset? | F-Measure |
What metrics were used to measure the Common context features + Four SA classes model in the A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors paper on the Sepehr_RumTel01 dataset? | F-Measure |
What metrics were used to measure the top_model_weights_with_3d_2 model in the Adjusting for Bias with Procedural Data paper on the Animals-10 dataset? | 1:1 Accuracy |
What metrics were used to measure the Resnet 18 model in the AlignMixup: Improving Representations By Interpolating Aligned Features paper on the CIFAR10 dataset? | Accuracy (%) |
What metrics were used to measure the Morphological Network model in the Morphological Network: How Far Can We Go with Morphological Neurons? paper on the Circle Data dataset? | Accuracy |
What metrics were used to measure the Max Margin Contrastive model in the Contrastive Learning of Generalized Game Representations paper on the Sports10 dataset? | Silhouette Score |
What metrics were used to measure the SciNCL model in the Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings paper on the SciDocs dataset? | Avg. |
What metrics were used to measure the SPECTER model in the SPECTER: Document-level Representation Learning using Citation-informed Transformers paper on the SciDocs dataset? | Avg. |
What metrics were used to measure the Citeomatic model in the SPECTER: Document-level Representation Learning using Citation-informed Transformers paper on the SciDocs dataset? | Avg. |
What metrics were used to measure the Sci-DeCLUTR model in the Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings paper on the SciDocs dataset? | Avg. |
What metrics were used to measure the SciBERT model in the SPECTER: Document-level Representation Learning using Citation-informed Transformers paper on the SciDocs dataset? | Avg. |
What metrics were used to measure the BioBERT model in the BioBERT: a pre-trained biomedical language representation model for biomedical text mining paper on the SciDocs dataset? | Avg. |
What metrics were used to measure the CiteBERT model in the Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings paper on the SciDocs dataset? | Avg. |
What metrics were used to measure the Few-shot Adversarial Model model in the Few-Shot Adversarial Learning of Realistic Neural Talking Head Models paper on the VoxCeleb1 - 8-shot learning dataset? | FID |
What metrics were used to measure the X2Face model in the X2Face: A network for controlling face generation using images, audio, and pose codes paper on the VoxCeleb1 - 8-shot learning dataset? | FID |
What metrics were used to measure the CainGAN model in the Pose Manipulation with Identity Preservation paper on the VoxCeleb2 - 8-shot learning dataset? | FID |
What metrics were used to measure the Few-shot Adversarial Model model in the Few-Shot Adversarial Learning of Realistic Neural Talking Head Models paper on the VoxCeleb2 - 8-shot learning dataset? | FID |
What metrics were used to measure the Fast Bi-layer Avatars (medium size) model in the Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars paper on the VoxCeleb2 - 1-shot learning dataset? | CSIM, LPIPS, Normalized Pose Error, SSIM, inference time (ms), FID |
What metrics were used to measure the First Order Motion Model (medium size) model in the Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars paper on the VoxCeleb2 - 1-shot learning dataset? | CSIM, LPIPS, Normalized Pose Error, SSIM, inference time (ms), FID |
What metrics were used to measure the Few-shot Vid-to-vid (medium size) model in the Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars paper on the VoxCeleb2 - 1-shot learning dataset? | CSIM, LPIPS, Normalized Pose Error, SSIM, inference time (ms), FID |
What metrics were used to measure the CainGAN model in the Pose Manipulation with Identity Preservation paper on the VoxCeleb2 - 1-shot learning dataset? | CSIM, LPIPS, Normalized Pose Error, SSIM, inference time (ms), FID |
What metrics were used to measure the Few-shot Adversarial Model model in the Few-Shot Adversarial Learning of Realistic Neural Talking Head Models paper on the VoxCeleb2 - 1-shot learning dataset? | CSIM, LPIPS, Normalized Pose Error, SSIM, inference time (ms), FID |
What metrics were used to measure the Few-shot Adversarial Model model in the Few-Shot Adversarial Learning of Realistic Neural Talking Head Models paper on the VoxCeleb1 - 32-shot learning dataset? | FID |
What metrics were used to measure the X2Face model in the X2Face: A network for controlling face generation using images, audio, and pose codes paper on the VoxCeleb1 - 32-shot learning dataset? | FID |
What metrics were used to measure the Few-shot Adversarial Model model in the Few-Shot Adversarial Learning of Realistic Neural Talking Head Models paper on the VoxCeleb1 - 1-shot learning dataset? | FID |
What metrics were used to measure the X2Face model in the X2Face: A network for controlling face generation using images, audio, and pose codes paper on the VoxCeleb1 - 1-shot learning dataset? | FID |
What metrics were used to measure the Few-shot Adversarial Model model in the Few-Shot Adversarial Learning of Realistic Neural Talking Head Models paper on the VoxCeleb2 - 32-shot learning dataset? | FID |
What metrics were used to measure the Ashok model in the 0-Step Capturability, Motion Decomposition and Global Feedback Control of the 3D Variable Height-Inverted Pendulum paper on the 100 sleep nights of 8 caregivers dataset? | 10% |
What metrics were used to measure the RATE-CSE model in the Collaborative Similarity Embedding for Recommender Systems paper on the MovieLens-Latest dataset? | Recall@10, mAP@10 |
What metrics were used to measure the VASP model in the Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP) paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the H+Vamp Gated model in the Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the RecVAE model in the RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the RaCT model in the Towards Amortized Ranking-Critical Training for Collaborative Filtering paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the Mult-VAE PR model in the Variational Autoencoders for Collaborative Filtering paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the EASE model in the Embarrassingly Shallow Autoencoders for Sparse Data paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the Mult-DAE model in the Variational Autoencoders for Collaborative Filtering paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the HyperML model in the HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the LRML model in the Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the CML model in the Collaborative Metric Learning paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the HGN model in the Hierarchical Gating Networks for Sequential Recommendation paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the Multi-Gradient Descent model in the Multi-Gradient Descent for Multi-Objective Recommender Systems paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the LED model in the Lightweight representation learning for efficient and scalable recommendation paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the KGNN-LS model in the Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems paper on the MovieLens 20M dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, Recall@100, HR@10, Recall@10, Recall@2 |
What metrics were used to measure the HGN model in the Hierarchical Gating Networks for Sequential Recommendation paper on the GoodReads-Comics dataset? | Recall@10, nDCG@10 |
What metrics were used to measure the TransCF model in the Collaborative Translational Metric Learning paper on the Declicious dataset? | Hits@10, Hits@20, nDCG@10, nDCG@20 |
What metrics were used to measure the DANSER model in the Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems paper on the Epinions dataset? | MAE, RMSE |
What metrics were used to measure the NSCR (Wang et al., 2017) model in the Item Silk Road: Recommending Items from Information Domains to Social Users paper on the Epinions dataset? | MAE, RMSE |
What metrics were used to measure the GraphRec model in the Graph Neural Networks for Social Recommendation paper on the Epinions dataset? | MAE, RMSE |
What metrics were used to measure the H+Vamp Gated model in the Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms paper on the Netflix dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, AUC, PSP@10, Recall@10, mAP@10, Recall@100 |
What metrics were used to measure the RecVAE model in the RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback paper on the Netflix dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, AUC, PSP@10, Recall@10, mAP@10, Recall@100 |
What metrics were used to measure the EASE model in the Embarrassingly Shallow Autoencoders for Sparse Data paper on the Netflix dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, AUC, PSP@10, Recall@10, mAP@10, Recall@100 |
What metrics were used to measure the RaCT model in the Towards Amortized Ranking-Critical Training for Collaborative Filtering paper on the Netflix dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, AUC, PSP@10, Recall@10, mAP@10, Recall@100 |
What metrics were used to measure the Mult-VAE PR model in the Variational Autoencoders for Collaborative Filtering paper on the Netflix dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, AUC, PSP@10, Recall@10, mAP@10, Recall@100 |
What metrics were used to measure the Mult-DAE model in the Variational Autoencoders for Collaborative Filtering paper on the Netflix dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, AUC, PSP@10, Recall@10, mAP@10, Recall@100 |
What metrics were used to measure the ∞-AE model in the Infinite Recommendation Networks: A Data-Centric Approach paper on the Netflix dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, AUC, PSP@10, Recall@10, mAP@10, Recall@100 |
What metrics were used to measure the LRML model in the Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking paper on the Netflix dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, AUC, PSP@10, Recall@10, mAP@10, Recall@100 |
What metrics were used to measure the CML model in the Collaborative Metric Learning paper on the Netflix dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, AUC, PSP@10, Recall@10, mAP@10, Recall@100 |
What metrics were used to measure the RATE-CSE model in the Collaborative Similarity Embedding for Recommender Systems paper on the Netflix dataset? | nDCG@100, nDCG@10, Recall@20, Recall@50, AUC, PSP@10, Recall@10, mAP@10, Recall@100 |
What metrics were used to measure the BSPM-EM model in the Blurring-Sharpening Process Models for Collaborative Filtering paper on the Yelp2018 dataset? | NDCG@20, Recall@20 |
What metrics were used to measure the BSPM-LM model in the Blurring-Sharpening Process Models for Collaborative Filtering paper on the Yelp2018 dataset? | NDCG@20, Recall@20 |
What metrics were used to measure the SimpleX model in the SimpleX: A Simple and Strong Baseline for Collaborative Filtering paper on the Yelp2018 dataset? | NDCG@20, Recall@20 |
What metrics were used to measure the LT-OCF model in the LT-OCF: Learnable-Time ODE-based Collaborative Filtering paper on the Yelp2018 dataset? | NDCG@20, Recall@20 |
What metrics were used to measure the SSCF model in the Sapling Similarity: a performing and interpretable memory-based tool for recommendation paper on the Yelp2018 dataset? | NDCG@20, Recall@20 |
What metrics were used to measure the LightGCN model in the LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation paper on the Yelp2018 dataset? | NDCG@20, Recall@20 |
What metrics were used to measure the C2CRS model in the C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System paper on the ReDial dataset? | Recall@10, Recall@50, Recall@1 |
What metrics were used to measure the UniCRS model in the Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning paper on the ReDial dataset? | Recall@10, Recall@50, Recall@1 |
What metrics were used to measure the UCCR model in the User-Centric Conversational Recommendation with Multi-Aspect User Modeling paper on the ReDial dataset? | Recall@10, Recall@50, Recall@1 |
What metrics were used to measure the CRFR model in the CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs paper on the ReDial dataset? | Recall@10, Recall@50, Recall@1 |
What metrics were used to measure the CR-Walker model in the CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation paper on the ReDial dataset? | Recall@10, Recall@50, Recall@1 |
What metrics were used to measure the KGSF model in the Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion paper on the ReDial dataset? | Recall@10, Recall@50, Recall@1 |
What metrics were used to measure the KBRD model in the Towards Knowledge-Based Recommender Dialog System paper on the ReDial dataset? | Recall@10, Recall@50, Recall@1 |
What metrics were used to measure the IGMC model in the Inductive Matrix Completion Based on Graph Neural Networks paper on the Flixster Monti dataset? | RMSE |
What metrics were used to measure the MG-GAT model in the Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective paper on the Flixster Monti dataset? | RMSE |
What metrics were used to measure the GRAEM model in the Scalable Probabilistic Matrix Factorization with Graph-Based Priors paper on the Flixster Monti dataset? | RMSE |
What metrics were used to measure the Factorized EAE model in the Deep Models of Interactions Across Sets paper on the Flixster Monti dataset? | RMSE |
What metrics were used to measure the GC-MC model in the Graph Convolutional Matrix Completion paper on the Flixster Monti dataset? | RMSE |
What metrics were used to measure the sRGCNN model in the Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks paper on the Flixster Monti dataset? | RMSE |
What metrics were used to measure the GRALS model in the Collaborative Filtering with Graph Information: Consistency and Scalable Methods paper on the Flixster Monti dataset? | RMSE |
What metrics were used to measure the TransCF model in the Collaborative Translational Metric Learning paper on the Book-Crossing dataset? | Hits@10, Hits@20, Recall@10, Recall@100, Recall@2, Recall@50, nDCG@10, nDCG@20 |
What metrics were used to measure the KGNN-LS model in the Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems paper on the Book-Crossing dataset? | Hits@10, Hits@20, Recall@10, Recall@100, Recall@2, Recall@50, nDCG@10, nDCG@20 |
What metrics were used to measure the RANK-CSE model in the Collaborative Similarity Embedding for Recommender Systems paper on the Echonest dataset? | Recall@10, mAP@10 |
What metrics were used to measure the MG-GAT model in the Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective paper on the YahooMusic Monti dataset? | RMSE |
What metrics were used to measure the IGMC model in the Inductive Matrix Completion Based on Graph Neural Networks paper on the YahooMusic Monti dataset? | RMSE |
What metrics were used to measure the Factorized EAE model in the Deep Models of Interactions Across Sets paper on the YahooMusic Monti dataset? | RMSE |
What metrics were used to measure the GC-MC model in the Graph Convolutional Matrix Completion paper on the YahooMusic Monti dataset? | RMSE |
What metrics were used to measure the sRGCNN model in the Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks paper on the YahooMusic Monti dataset? | RMSE |
What metrics were used to measure the GRALS model in the Collaborative Filtering with Graph Information: Consistency and Scalable Methods paper on the YahooMusic Monti dataset? | RMSE |
What metrics were used to measure the Ekar* model in the Ekar: An Explainable Method for Knowledge Aware Recommendation paper on the Last.FM dataset? | HR@10, NDCG@20, Recall@10, Recall@100, Recall@2, Recall@20, Recall@50, nDCG@10 |
What metrics were used to measure the HAKG model in the HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation paper on the Last.FM dataset? | HR@10, NDCG@20, Recall@10, Recall@100, Recall@2, Recall@20, Recall@50, nDCG@10 |
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