prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the NLP_HZ model in the NLP\_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach paper on the General dataset? | MAP, MRR, P@5 |
What metrics were used to measure the 300-sparsans model in the 300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes paper on the General dataset? | MAP, MRR, P@5 |
What metrics were used to measure the MFH model in the paper on the General dataset? | MAP, MRR, P@5 |
What metrics were used to measure the SJTU BCMI model in the SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings paper on the General dataset? | MAP, MRR, P@5 |
What metrics were used to measure the Apollo model in the Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies paper on the General dataset? | MAP, MRR, P@5 |
What metrics were used to measure the balAPInc model in the Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection paper on the General dataset? | MAP, MRR, P@5 |
What metrics were used to measure the CRIM model in the CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery paper on the Music domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the MFH model in the paper on the Music domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the 300-sparsans model in the 300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes paper on the Music domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the vTE model in the Supervised Distributional Hypernym Discovery via Domain Adaptation paper on the Music domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the SJTU BCMI model in the SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings paper on the Music domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the ADAPT model in the ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora paper on the Music domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the balAPInc model in the Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection paper on the Music domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the CRIM model in the CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery paper on the Medical domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the MFH model in the paper on the Medical domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the 300-sparsans model in the 300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes paper on the Medical domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the vTE model in the Supervised Distributional Hypernym Discovery via Domain Adaptation paper on the Medical domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the EXPR model in the EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery paper on the Medical domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the SJTU BCMI model in the SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings paper on the Medical domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the ADAPT model in the ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora paper on the Medical domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the balAPInc model in the Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection paper on the Medical domain dataset? | MAP, MRR, P@5 |
What metrics were used to measure the SGD - cosine LR schedule model in the Benchopt: Reproducible, efficient and collaborative optimization benchmarks paper on the CIFAR-10 ResNet-18 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the Lookahead model in the Lookahead Optimizer: k steps forward, 1 step back paper on the CIFAR-10 ResNet-18 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the SGD model in the Lookahead Optimizer: k steps forward, 1 step back paper on the CIFAR-10 ResNet-18 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the ADAM model in the Lookahead Optimizer: k steps forward, 1 step back paper on the CIFAR-10 ResNet-18 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the AvaGrad model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-100 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the AdaShift model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-100 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the Adam (eps-adjusted) model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-100 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the SGD model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-100 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the AdamW model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-100 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the AdaBound model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-100 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the Lookahead model in the Lookahead Optimizer: k steps forward, 1 step back paper on the ImageNet ResNet-50 - 60 Epochs dataset? | Top 1 Accuracy, Top 5 Accuracy |
What metrics were used to measure the SGD model in the Lookahead Optimizer: k steps forward, 1 step back paper on the ImageNet ResNet-50 - 60 Epochs dataset? | Top 1 Accuracy, Top 5 Accuracy |
What metrics were used to measure the MLP model in the Training Deep Networks without Learning Rates Through Coin Betting paper on the MNIST dataset? | NLL |
What metrics were used to measure the Resnet18 model in the Mixing ADAM and SGD: a Combined Optimization Method paper on the CIFAR-10 dataset? | Accuracy (max), Accuracy (mean) |
What metrics were used to measure the Resnet34 model in the Mixing ADAM and SGD: a Combined Optimization Method paper on the CIFAR-10 dataset? | Accuracy (max), Accuracy (mean) |
What metrics were used to measure the Bert model in the Mixing ADAM and SGD: a Combined Optimization Method paper on the AG News dataset? | Accuracy (max), Accuracy (mean) |
What metrics were used to measure the AvaGrad model in the Domain-independent Dominance of Adaptive Methods paper on the ImageNet ResNet-50 - 90 Epochs dataset? | Top 1 Accuracy |
What metrics were used to measure the SGD model in the Domain-independent Dominance of Adaptive Methods paper on the ImageNet ResNet-50 - 90 Epochs dataset? | Top 1 Accuracy |
What metrics were used to measure the AdamW model in the Domain-independent Dominance of Adaptive Methods paper on the ImageNet ResNet-50 - 90 Epochs dataset? | Top 1 Accuracy |
What metrics were used to measure the AdaBound model in the Domain-independent Dominance of Adaptive Methods paper on the ImageNet ResNet-50 - 90 Epochs dataset? | Top 1 Accuracy |
What metrics were used to measure the Bert model in the Mixing ADAM and SGD: a Combined Optimization Method paper on the CoLA dataset? | Accuracy (max), Accuracy (mean) |
What metrics were used to measure the Resnet18 model in the Mixing ADAM and SGD: a Combined Optimization Method paper on the CIFAR-100 dataset? | Accuracy (max), Accuracy (mean) |
What metrics were used to measure the Resnet34 model in the Mixing ADAM and SGD: a Combined Optimization Method paper on the CIFAR-100 dataset? | Accuracy (max), Accuracy (mean) |
What metrics were used to measure the Lookahead model in the Lookahead Optimizer: k steps forward, 1 step back paper on the ImageNet ResNet-50 - 50 Epochs dataset? | Top 1 Accuracy, Top 5 Accuracy |
What metrics were used to measure the SGD model in the Lookahead Optimizer: k steps forward, 1 step back paper on the ImageNet ResNet-50 - 50 Epochs dataset? | Top 1 Accuracy, Top 5 Accuracy |
What metrics were used to measure the Adam (eps-adjusted) model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-10 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the AvaGrad model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-10 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the SGD model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-10 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the AdaShift model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-10 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the AdamW model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-10 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the AdaBound model in the Domain-independent Dominance of Adaptive Methods paper on the CIFAR-10 WRN-28-10 - 200 Epochs dataset? | Accuracy |
What metrics were used to measure the AvaGrad model in the Domain-independent Dominance of Adaptive Methods paper on the Penn Treebank (Character Level) 3x1000 LSTM - 500 Epochs dataset? | Bit per Character (BPC) |
What metrics were used to measure the AdamW model in the Domain-independent Dominance of Adaptive Methods paper on the Penn Treebank (Character Level) 3x1000 LSTM - 500 Epochs dataset? | Bit per Character (BPC) |
What metrics were used to measure the AdaShift model in the Domain-independent Dominance of Adaptive Methods paper on the Penn Treebank (Character Level) 3x1000 LSTM - 500 Epochs dataset? | Bit per Character (BPC) |
What metrics were used to measure the AdaBound model in the Domain-independent Dominance of Adaptive Methods paper on the Penn Treebank (Character Level) 3x1000 LSTM - 500 Epochs dataset? | Bit per Character (BPC) |
What metrics were used to measure the SOLIDER model in the Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the SeqNeXt model in the Gallery Filter Network for Person Search paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the DMRNet++ model in the DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the ROI-AlignPS model in the Efficient Person Search: An Anchor-Free Approach paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the GLCNet+CBGM model in the MovieNet-PS: A Large-Scale Person Search Dataset in the Wild paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the NAE+SeqNet+CBGM model in the Sequential End-to-end Network for Efficient Person Search paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the DMRNet model in the Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the GLCNet model in the MovieNet-PS: A Large-Scale Person Search Dataset in the Wild paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the NAE+SeqNet model in the Sequential End-to-end Network for Efficient Person Search paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the OIM+SeqNet+CBGM model in the Sequential End-to-end Network for Efficient Person Search paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the AlignPS+ model in the Anchor-Free Person Search paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the AlignPS model in the Anchor-Free Person Search paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the OIM+SeqNet model in the Sequential End-to-end Network for Efficient Person Search paper on the PRW dataset? | mAP, Top-1 |
What metrics were used to measure the SeqNeXt+GFN model in the Gallery Filter Network for Person Search paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the SeqNeXt model in the Gallery Filter Network for Person Search paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the GLCNet+CBGM model in the MovieNet-PS: A Large-Scale Person Search Dataset in the Wild paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the GLCNet model in the MovieNet-PS: A Large-Scale Person Search Dataset in the Wild paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the SOLIDER model in the Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the ROI-AlignPS model in the Efficient Person Search: An Anchor-Free Approach paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the NAE+SeqNet+CBGM model in the Sequential End-to-end Network for Efficient Person Search paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the DMRNet++ model in the DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the OIM+SeqNet+CBGM model in the Sequential End-to-end Network for Efficient Person Search paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the AlignPS+ model in the Anchor-Free Person Search paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the NAE+SeqNet model in the Sequential End-to-end Network for Efficient Person Search paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the OIM+SeqNet model in the Sequential End-to-end Network for Efficient Person Search paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the DMRNet model in the Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the AlignPS model in the Anchor-Free Person Search paper on the CUHK-SYSU dataset? | MAP, Top-1 |
What metrics were used to measure the MicroNet-KWS-L model in the MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers paper on the Google Speech Commands V2 12 dataset? | Accuracy, Latency (STM32F746ZG) |
What metrics were used to measure the 1D-ConvNet model in the Spoken Language Identification using ConvNets paper on the VoxForge dataset? | Accuracy (%) |
What metrics were used to measure the 2D-ConvNet model in the Spoken Language Identification using ConvNets paper on the VoxForge dataset? | Accuracy (%) |
What metrics were used to measure the Res26 model in the EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting paper on the FKD dataset? | Accuracy |
What metrics were used to measure the EfficientNet-A0 + SA + TL model in the EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting paper on the FKD dataset? | Accuracy |
What metrics were used to measure the Quaternion Neural Networks model in the Towards on-Device Keyword Spotting using Low-Footprint Quaternion Neural Models paper on the Google Speech Commands (v2) dataset? | Accuracy(10-fold) |
What metrics were used to measure the HEiMDaL model in the HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words paper on the hey Siri dataset? | Error Rate |
What metrics were used to measure the End-to-end DNN-HMM model in the Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric paper on the hey Siri dataset? | Error Rate |
What metrics were used to measure the Stacked 1D CNN model in the HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words paper on the hey Siri dataset? | Error Rate |
What metrics were used to measure the CP-ResNet(ch64) w/ SSN(S=2, A=Sub) model in the SubSpectral Normalization for Neural Audio Data Processing paper on the TAU Urban Acoustic Scenes 2019 dataset? | Accuracy |
What metrics were used to measure the CP-ResNet(ch128) w/ SSN(S=2, A=Sub) model in the SubSpectral Normalization for Neural Audio Data Processing paper on the TAU Urban Acoustic Scenes 2019 dataset? | Accuracy |
What metrics were used to measure the QuaternionNeuralNetwork model in the Towards on-Device Keyword Spotting using Low-Footprint Quaternion Neural Models paper on the Google Speech Commands V2 35 dataset? | Accuracy (10-fold) |
What metrics were used to measure the TripletLoss-res15 model in the Learning Efficient Representations for Keyword Spotting with Triplet Loss paper on the Google Speech Commands dataset? | Google Speech Commands V1 12, Google Speech Commands V2 12, Google Speech Commands V2 2, Google Speech Commands V2 20, Google Speech Commands V2 35, Google Speech Commands V1 2, Google Speech Commands V1 20, Google Speech Commands V1 35, Google Speech Commands V1 6, 10-keyword Speech Commands dataset, Google Speech Command-Musan, % Test Accuracy, Google Speech Commands |
What metrics were used to measure the BC-ResNet-8 model in the Broadcasted Residual Learning for Efficient Keyword Spotting paper on the Google Speech Commands dataset? | Google Speech Commands V1 12, Google Speech Commands V2 12, Google Speech Commands V2 2, Google Speech Commands V2 20, Google Speech Commands V2 35, Google Speech Commands V1 2, Google Speech Commands V1 20, Google Speech Commands V1 35, Google Speech Commands V1 6, 10-keyword Speech Commands dataset, Google Speech Command-Musan, % Test Accuracy, Google Speech Commands |
What metrics were used to measure the Wav2KWS model in the Wav2KWS: Transfer Learning from Speech Representations for Keyword Spotting paper on the Google Speech Commands dataset? | Google Speech Commands V1 12, Google Speech Commands V2 12, Google Speech Commands V2 2, Google Speech Commands V2 20, Google Speech Commands V2 35, Google Speech Commands V1 2, Google Speech Commands V1 20, Google Speech Commands V1 35, Google Speech Commands V1 6, 10-keyword Speech Commands dataset, Google Speech Command-Musan, % Test Accuracy, Google Speech Commands |
What metrics were used to measure the res 8 model in the Howl: A Deployed, Open-Source Wake Word Detection System paper on the Google Speech Commands dataset? | Google Speech Commands V1 12, Google Speech Commands V2 12, Google Speech Commands V2 2, Google Speech Commands V2 20, Google Speech Commands V2 35, Google Speech Commands V1 2, Google Speech Commands V1 20, Google Speech Commands V1 35, Google Speech Commands V1 6, 10-keyword Speech Commands dataset, Google Speech Command-Musan, % Test Accuracy, Google Speech Commands |
What metrics were used to measure the KWT-3 model in the Keyword Transformer: A Self-Attention Model for Keyword Spotting paper on the Google Speech Commands dataset? | Google Speech Commands V1 12, Google Speech Commands V2 12, Google Speech Commands V2 2, Google Speech Commands V2 20, Google Speech Commands V2 35, Google Speech Commands V1 2, Google Speech Commands V1 20, Google Speech Commands V1 35, Google Speech Commands V1 6, 10-keyword Speech Commands dataset, Google Speech Command-Musan, % Test Accuracy, Google Speech Commands |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.