prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the POP3D model in the Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization paper on the InvertedDoublePendulum dataset? | Mean |
What metrics were used to measure the ParPI model in the Particle Based Stochastic Policy Optimization paper on the HalfCHeetah-v3 dataset? | Average Reward |
What metrics were used to measure the POP3D model in the Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization paper on the HalfCheetah dataset? | Mean |
What metrics were used to measure the IQ-Learn model in the IQ-Learn: Inverse soft-Q Learning for Imitation paper on the Humanoid-v2 dataset? | Return |
What metrics were used to measure the POP3D model in the Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization paper on the Reacher dataset? | Mean |
What metrics were used to measure the POP3D model in the Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization paper on the Hopper dataset? | Mean |
What metrics were used to measure the PEMIRL model in the Meta-Inverse Reinforcement Learning with Probabilistic Context Variables paper on the Sweeper dataset? | Average Return |
What metrics were used to measure the ParPI model in the Particle Based Stochastic Policy Optimization paper on the Ant-v3 dataset? | Average Reward |
What metrics were used to measure the ParPI model in the Particle Based Stochastic Policy Optimization paper on the Humanoid-v3 dataset? | Average Reward |
What metrics were used to measure the IQ-Learn model in the IQ-Learn: Inverse soft-Q Learning for Imitation paper on the Walker2d dataset? | Mean |
What metrics were used to measure the POP3D model in the Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization paper on the Walker2d dataset? | Mean |
What metrics were used to measure the POP3D model in the Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization paper on the Swimmer dataset? | Mean |
What metrics were used to measure the ParPI model in the Particle Based Stochastic Policy Optimization paper on the Hopper-v3 dataset? | Average Reward |
What metrics were used to measure the IQ-Learn model in the IQ-Learn: Inverse soft-Q Learning for Imitation paper on the Ant dataset? | Average Return |
What metrics were used to measure the PEMIRL model in the Meta-Inverse Reinforcement Learning with Probabilistic Context Variables paper on the Ant dataset? | Average Return |
What metrics were used to measure the AIRL Fu et al. (2017) model in the Learning Robust Rewards with Adversarial Inverse Reinforcement Learning paper on the Ant dataset? | Average Return |
What metrics were used to measure the ParPI model in the Particle Based Stochastic Policy Optimization paper on the Walker2d-v3 dataset? | Average Reward |
What metrics were used to measure the Act3D model in the Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation paper on the RLBench dataset? | Succ. Rate (18 tasks, 100 demo/task), Training Time |
What metrics were used to measure the RVT model in the RVT: Robotic View Transformer for 3D Object Manipulation paper on the RLBench dataset? | Succ. Rate (18 tasks, 100 demo/task), Training Time |
What metrics were used to measure the PerAct (Evaluated in RVT) model in the Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation paper on the RLBench dataset? | Succ. Rate (18 tasks, 100 demo/task), Training Time |
What metrics were used to measure the PerAct model in the Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation paper on the RLBench dataset? | Succ. Rate (18 tasks, 100 demo/task), Training Time |
What metrics were used to measure the C2FARM-BC (Evaluated in PerAct) model in the Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation paper on the RLBench dataset? | Succ. Rate (18 tasks, 100 demo/task), Training Time |
What metrics were used to measure the Image-BC VIT model in the Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation paper on the RLBench dataset? | Succ. Rate (18 tasks, 100 demo/task), Training Time |
What metrics were used to measure the Image-BC CNN model in the Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation paper on the RLBench dataset? | Succ. Rate (18 tasks, 100 demo/task), Training Time |
What metrics were used to measure the GCN Hybrid model in the ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks paper on the CL-SciSumm dataset? | ROUGE-2 |
What metrics were used to measure the ButterflyNet model in the Automatic separation of laminar-turbulent flows on aircraft wings and stabilisers via adaptive attention butterfly network paper on the Wind Tunnel and Flight Test Experiments dataset? | Category IoU |
What metrics were used to measure the FlowLens model in the FlowLens: Seeing Beyond the FoV via Flow-guided Clip-Recurrent Transformer paper on the KITTI360-EX dataset? | Average PSNR |
What metrics were used to measure the E2FGVI model in the Towards An End-to-End Framework for Flow-Guided Video Inpainting paper on the KITTI360-EX dataset? | Average PSNR |
What metrics were used to measure the LaMa model in the Resolution-robust Large Mask Inpainting with Fourier Convolutions paper on the KITTI360-EX dataset? | Average PSNR |
What metrics were used to measure the FuseFormer model in the FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting paper on the KITTI360-EX dataset? | Average PSNR |
What metrics were used to measure the STTN model in the Learning Joint Spatial-Temporal Transformations for Video Inpainting paper on the KITTI360-EX dataset? | Average PSNR |
What metrics were used to measure the PUT model in the Reduce Information Loss in Transformers for Pluralistic Image Inpainting paper on the KITTI360-EX dataset? | Average PSNR |
What metrics were used to measure the SRN model in the Wide-Context Semantic Image Extrapolation paper on the KITTI360-EX dataset? | Average PSNR |
What metrics were used to measure the RF + KNN model in the Predicting Soil Properties from Hyperspectral Satellite Images paper on the HYPERVIEW dataset? | normalized MSE |
What metrics were used to measure the StackMix+Blots model in the StackMix and Blot Augmentations for Handwritten Text Recognition paper on the HKR dataset? | CER |
What metrics were used to measure the PyLaia (all transcriptions + agreement-based split) model in the Handwritten Text Recognition from Crowdsourced Annotations paper on the Belfort dataset? | CER (%), WER (%) |
What metrics were used to measure the PyLaia (rover consensus + agreement-based split) model in the Handwritten Text Recognition from Crowdsourced Annotations paper on the Belfort dataset? | CER (%), WER (%) |
What metrics were used to measure the PyLaia (human transcriptions + agreement-based split) model in the Handwritten Text Recognition from Crowdsourced Annotations paper on the Belfort dataset? | CER (%), WER (%) |
What metrics were used to measure the PyLaia (human transcriptions + random split) model in the Handwritten Text Recognition from Crowdsourced Annotations paper on the Belfort dataset? | CER (%), WER (%) |
What metrics were used to measure the StackMix+Blots model in the StackMix and Blot Augmentations for Handwritten Text Recognition paper on the Digital Peter dataset? | CER |
What metrics were used to measure the StackMix+Blots model in the StackMix and Blot Augmentations for Handwritten Text Recognition paper on the IAM-B dataset? | CER |
What metrics were used to measure the StackMix+Blots model in the StackMix and Blot Augmentations for Handwritten Text Recognition paper on the Bentham dataset? | CER |
What metrics were used to measure the StackMix+Blots model in the StackMix and Blot Augmentations for Handwritten Text Recognition paper on the IAM-D dataset? | CER |
What metrics were used to measure the S-Attn / CTC model in the Rethinking Text Line Recognition Models paper on the IAM dataset? | CER, WER |
What metrics were used to measure the TrOCR (large) model in the TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models paper on the IAM dataset? | CER, WER |
What metrics were used to measure the Transformer w/ CNN model in the Rethinking Text Line Recognition Models paper on the IAM dataset? | CER, WER |
What metrics were used to measure the TrOCR (small) model in the TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models paper on the IAM dataset? | CER, WER |
What metrics were used to measure the VAN model in the End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network paper on the IAM dataset? | CER, WER |
What metrics were used to measure the Transformer w/ CNN (+synth) model in the Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition paper on the IAM dataset? | CER, WER |
What metrics were used to measure the Easter2.0 model in the Easter2.0: Improving convolutional models for handwritten text recognition paper on the IAM dataset? | CER, WER |
What metrics were used to measure the FPHR+Aug Paragraph Level (~145 dpi) model in the Full Page Handwriting Recognition via Image to Sequence Extraction paper on the IAM dataset? | CER, WER |
What metrics were used to measure the DAN model in the Decoupled Attention Network for Text Recognition paper on the IAM dataset? | CER, WER |
What metrics were used to measure the Start, Follow, Read model in the Start, Follow, Read: End-to-End Full-Page Handwriting Recognition paper on the IAM dataset? | CER, WER |
What metrics were used to measure the FPHR+Aug Line Level (~145 dpi) model in the Full Page Handwriting Recognition via Image to Sequence Extraction paper on the IAM dataset? | CER, WER |
What metrics were used to measure the Leaky LP Cell model in the No Padding Please: Efficient Neural Handwriting Recognition paper on the IAM dataset? | CER, WER |
What metrics were used to measure the FPHR Paragraph Level (~145 dpi) model in the Full Page Handwriting Recognition via Image to Sequence Extraction paper on the IAM dataset? | CER, WER |
What metrics were used to measure the Transformer w/ CNN model in the Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition paper on the IAM dataset? | CER, WER |
What metrics were used to measure the DAN model in the DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition paper on the READ 2016 dataset? | CER (%), WER (%) |
What metrics were used to measure the StackMix+Blots model in the StackMix and Blot Augmentations for Handwritten Text Recognition paper on the Saint Gall dataset? | CER |
What metrics were used to measure the DAN model in the SIMARA: a database for key-value information extraction from full pages paper on the SIMARA dataset? | CER (%), WER (%) |
What metrics were used to measure the PPG model in the Phasic Policy Gradient paper on the ProcGen dataset? | Mean Normalized Performance |
What metrics were used to measure the PPO model in the Phasic Policy Gradient paper on the ProcGen dataset? | Mean Normalized Performance |
What metrics were used to measure the IFCAT model in the Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the CATs++ model in the CATs++: Boosting Cost Aggregation with Convolutions and Transformers paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the VAT (ECCV) model in the Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the VAT model in the Cost Aggregation Is All You Need for Few-Shot Segmentation paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the TransforMatcher model in the TransforMatcher: Match-to-Match Attention for Semantic Correspondence paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the MMNet model in the Multi-scale Matching Networks for Semantic Correspondence paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the CATs model in the CATs: Cost Aggregation Transformers for Visual Correspondence paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the CHM model in the Convolutional Hough Matching Networks paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the DHPF model in the Learning to Compose Hypercolumns for Visual Correspondence paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the SCOT model in the Semantic Correspondence as an Optimal Transport Problem paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the ANCNet model in the Correspondence Networks with Adaptive Neighbourhood Consensus paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the HPF model in the Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features paper on the SPair-71k dataset? | PCK |
What metrics were used to measure the HPF model in the Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features paper on the Caltech-101 dataset? | IoU, LT-ACC, IoU (weak), LT-ACC (weak) |
What metrics were used to measure the DHPF model in the Learning to Compose Hypercolumns for Visual Correspondence paper on the Caltech-101 dataset? | IoU, LT-ACC, IoU (weak), LT-ACC (weak) |
What metrics were used to measure the VAT (ECCV) model in the Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation paper on the PF-WILLOW dataset? | PCK, PCK (weak) |
What metrics were used to measure the VAT model in the Cost Aggregation Is All You Need for Few-Shot Segmentation paper on the PF-WILLOW dataset? | PCK, PCK (weak) |
What metrics were used to measure the CHM model in the Convolutional Hough Matching Networks paper on the PF-WILLOW dataset? | PCK, PCK (weak) |
What metrics were used to measure the CATs model in the CATs: Cost Aggregation Transformers for Visual Correspondence paper on the PF-WILLOW dataset? | PCK, PCK (weak) |
What metrics were used to measure the SCOT model in the Semantic Correspondence as an Optimal Transport Problem paper on the PF-WILLOW dataset? | PCK, PCK (weak) |
What metrics were used to measure the DHPF model in the Learning to Compose Hypercolumns for Visual Correspondence paper on the PF-WILLOW dataset? | PCK, PCK (weak) |
What metrics were used to measure the HPF model in the Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features paper on the PF-WILLOW dataset? | PCK, PCK (weak) |
What metrics were used to measure the CATs++ model in the CATs++: Boosting Cost Aggregation with Convolutions and Transformers paper on the PF-PASCAL dataset? | PCK, PCK (weak) |
What metrics were used to measure the CATs model in the CATs: Cost Aggregation Transformers for Visual Correspondence paper on the PF-PASCAL dataset? | PCK, PCK (weak) |
What metrics were used to measure the VAT model in the Cost Aggregation Is All You Need for Few-Shot Segmentation paper on the PF-PASCAL dataset? | PCK, PCK (weak) |
What metrics were used to measure the VAT (ECCV) model in the Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation paper on the PF-PASCAL dataset? | PCK, PCK (weak) |
What metrics were used to measure the CHM model in the Convolutional Hough Matching Networks paper on the PF-PASCAL dataset? | PCK, PCK (weak) |
What metrics were used to measure the DHPF model in the Learning to Compose Hypercolumns for Visual Correspondence paper on the PF-PASCAL dataset? | PCK, PCK (weak) |
What metrics were used to measure the SCOT model in the Semantic Correspondence as an Optimal Transport Problem paper on the PF-PASCAL dataset? | PCK, PCK (weak) |
What metrics were used to measure the ANCNet model in the Correspondence Networks with Adaptive Neighbourhood Consensus paper on the PF-PASCAL dataset? | PCK, PCK (weak) |
What metrics were used to measure the HPF model in the Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features paper on the PF-PASCAL dataset? | PCK, PCK (weak) |
What metrics were used to measure the NC-Net model in the Neighbourhood Consensus Networks paper on the PF-PASCAL dataset? | PCK, PCK (weak) |
What metrics were used to measure the PaLM-540B (few-shot, k=5) model in the PaLM: Scaling Language Modeling with Pathways paper on the BIG-bench (Hindu Knowledge) dataset? | Accuracy |
What metrics were used to measure the Gopher-280B (few-shot, k=5) model in the Scaling Language Models: Methods, Analysis & Insights from Training Gopher paper on the BIG-bench (Hindu Knowledge) dataset? | Accuracy |
What metrics were used to measure the PaLM-62B (few-shot, k=5) model in the PaLM: Scaling Language Modeling with Pathways paper on the BIG-bench (Hindu Knowledge) dataset? | Accuracy |
What metrics were used to measure the Inception Time model in the Phonocardiogram Classification Using 1-Dimensional Inception Time Convolutional Neural Networks paper on the CirCor DigiScope dataset? | Clinical cost score, Clinical cost score (validation data), Clinical cost score (cross-val) |
What metrics were used to measure the BloodAxe, 1st place xView3 prize challenge model in the xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery paper on the xView3-SAR dataset? | Aggregate xView3 Score |
What metrics were used to measure the selim_sef, 2nd place xView3 prize challenge model in the xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery paper on the xView3-SAR dataset? | Aggregate xView3 Score |
What metrics were used to measure the Tumen, 3rd place xView3 prize challenge model in the xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery paper on the xView3-SAR dataset? | Aggregate xView3 Score |
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