prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the RASAT+PICARD model in the RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL paper on the SPIDER dataset? | Exact Match Accuracy (in Dev), Execution Accuracy (in Dev) |
What metrics were used to measure the RASAT model in the RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL paper on the SPIDER dataset? | Exact Match Accuracy (in Dev), Execution Accuracy (in Dev) |
What metrics were used to measure the T5-3B model in the PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models paper on the SPIDER dataset? | Exact Match Accuracy (in Dev), Execution Accuracy (in Dev) |
What metrics were used to measure the RAT-SQL model in the KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers paper on the KaggleDBQA dataset? | Exact Match (EM) |
What metrics were used to measure the Edit-SQL model in the KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers paper on the KaggleDBQA dataset? | Exact Match (EM) |
What metrics were used to measure the Graphix-3B+Picard model in the Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing paper on the spider dataset? | Exact Match Accuracy (Dev), Exact Match Accuracy (Test), Execution Accuracy (Dev) |
What metrics were used to measure the T5-3B + PICARD model in the PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models paper on the spider dataset? | Exact Match Accuracy (Dev), Exact Match Accuracy (Test), Execution Accuracy (Dev) |
What metrics were used to measure the SADGA + GAP model in the SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL paper on the spider dataset? | Exact Match Accuracy (Dev), Exact Match Accuracy (Test), Execution Accuracy (Dev) |
What metrics were used to measure the RATSQL + GAP model in the Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training paper on the spider dataset? | Exact Match Accuracy (Dev), Exact Match Accuracy (Test), Execution Accuracy (Dev) |
What metrics were used to measure the RYANSQL (BERT) model in the RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases paper on the spider dataset? | Exact Match Accuracy (Dev), Exact Match Accuracy (Test), Execution Accuracy (Dev) |
What metrics were used to measure the MAPO + TABERTLarge (K = 3) model in the TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data paper on the spider dataset? | Exact Match Accuracy (Dev), Exact Match Accuracy (Test), Execution Accuracy (Dev) |
What metrics were used to measure the LEVER + Codex model in the LEVER: Learning to Verify Language-to-Code Generation with Execution paper on the spider dataset? | Exact Match Accuracy (Dev), Exact Match Accuracy (Test), Execution Accuracy (Dev) |
What metrics were used to measure the T5-Large model in the Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data paper on the SEDE dataset? | PCM-F1 (dev), PCM-F1 (test) |
What metrics were used to measure the SepFormer model in the Exploring Self-Attention Mechanisms for Speech Separation paper on the WHAMR! dataset? | PESQ, SI-SDR, ΔPESQ, SI-SNR, SDR |
What metrics were used to measure the DTLN model in the Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression paper on the WHAMR! dataset? | PESQ, SI-SDR, ΔPESQ, SI-SNR, SDR |
What metrics were used to measure the Unprocessed model in the paper on the WHAMR! dataset? | PESQ, SI-SDR, ΔPESQ, SI-SNR, SDR |
What metrics were used to measure the Non-Real-Time MultiScale+ model in the Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net paper on the WHAMR! dataset? | PESQ, SI-SDR, ΔPESQ, SI-SNR, SDR |
What metrics were used to measure the Audio-Visual concat-ref model in the Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments paper on the GRID corpus (mixed-speech) dataset? | PESQ |
What metrics were used to measure the DCUNet-MC model in the Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses paper on the WSJ0 + DEMAND + RNNoise dataset? | PESQ-NB |
What metrics were used to measure the DCCRN-M model in the Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses paper on the WSJ0 + DEMAND + RNNoise dataset? | PESQ-NB |
What metrics were used to measure the DCUNet model in the Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses paper on the WSJ0 + DEMAND + RNNoise dataset? | PESQ-NB |
What metrics were used to measure the DCUnet-MC model in the Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses paper on the DNS Challenge dataset? | PESQ-NB, PESQ-WB |
What metrics were used to measure the DCCRN-MC model in the Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses paper on the DNS Challenge dataset? | PESQ-NB, PESQ-WB |
What metrics were used to measure the DCCRN-M model in the Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses paper on the DNS Challenge dataset? | PESQ-NB, PESQ-WB |
What metrics were used to measure the DCCRN model in the Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses paper on the DNS Challenge dataset? | PESQ-NB, PESQ-WB |
What metrics were used to measure the RNN-Modulation model in the A Modulation-Domain Loss for Neural-Network-based Real-time Speech Enhancement paper on the DNS Challenge dataset? | PESQ-NB, PESQ-WB |
What metrics were used to measure the Audio-Visual concat-ref model in the Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments paper on the TCD-TIMIT corpus (mixed-speech) dataset? | PESQ |
What metrics were used to measure the SCP-CMGAN model in the SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the D2Former model in the Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the CMGAN model in the CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the PCS model in the Perceptual Contrast Stretching on Target Feature for Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the D²Net model in the D²Net: A Denoising and Dereverberation Network Based on Two-branch Encoder and Dual-path Transformer paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the MetricGAN-OKD model in the MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the MANNER model in the MANNER: Multi-view Attention Network for Noise Erasure paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the BSSE-SE model in the Boosting Self-Supervised Embeddings for Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the DeepFilterNet3 model in the DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the PERL-AE model in the Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the PFPL model in the Improving Perceptual Quality by Phone-Fortified Perceptual Loss using Wasserstein Distance for Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the MetricGAN+ model in the MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the MANNER-S + MV-AT (8.1GF) model in the Multi-View Attention Transfer for Efficient Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the MetricGAN-OKD (Causal Arch.) model in the MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the RDL-Net 3.91M (Deep Xi - MMSE-LSA) model in the Deep Residual-Dense Lattice Network for Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the RDL-Net 3.91M (Deep Xi - SRWF) model in the Deep Residual-Dense Lattice Network for Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the RDL-Net 1.87M (Deep Xi - MMSE-LSA) model in the Deep Residual-Dense Lattice Network for Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the MetricGAN model in the MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the RDL-Net 1.87M (Deep Xi - SRWF) model in the Deep Residual-Dense Lattice Network for Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the DCT model in the End-to-end speech enhancement based on discrete cosine transform paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the Wave-U-Net model in the Improved Speech Enhancement with the Wave-U-Net paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the real-time-GRU model in the A Modulation-Domain Loss for Neural-Network-based Real-time Speech Enhancement paper on the VoiceBank + DEMAND dataset? | PESQ, CBAK, COVL, CSIG, PESQ-WB, STOI, SSNR, Para. (M) |
What metrics were used to measure the DeFT-AN model in the DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement paper on the spatialized DNS challenge dataset? | PESQ, SI-SDR, STOI |
What metrics were used to measure the SepFormer model in the Exploring Self-Attention Mechanisms for Speech Separation paper on the WHAM! dataset? | PESQ, SDR, SI-SNR |
What metrics were used to measure the SE-MelGAN model in the SE-MelGAN -- Speaker Agnostic Rapid Speech Enhancement paper on the LibriSpeechDuplicate dataset? | Audio Quality MOS |
What metrics were used to measure the MFNET model in the A Mask Free Neural Network for Monaural Speech Enhancement paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the FRCRN model in the Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the Sudo rm -rf (U=32) model in the RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the DCTCRN-P model in the Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the DCTCRN-T model in the Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the DCCRN-E model in the Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the PoCoNet model in the PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the FullSubNet model in the FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the DCTCRN-S model in the Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the RNN-Modulation model in the A Modulation-Domain Loss for Neural-Network-based Real-time Speech Enhancement paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the Conv-TasNet-SNR model in the Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the Sudo rm-rf (U=8) model in the Continual self-training with bootstrapped remixing for speech enhancement paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the Proposed (0.35) model in the Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the RemixIT (w Sudo U=32) model in the Continual self-training with bootstrapped remixing for speech enhancement paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the RemixIT (w Sudo U=32) model in the RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the SN-Net model in the Interactive Speech and Noise Modeling for Speech Enhancement paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the DCCRN-E-Aug model in the DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the DTLN model in the Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the DCCRN-E model in the DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the Non-Real-Time MultiScale+ model in the Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net paper on the Deep Noise Suppression (DNS) Challenge dataset? | PESQ-WB, PESQ-NB, SI-SDR-WB, SI-SDR-NB |
What metrics were used to measure the Inter-Channel Conv-TasNet model in the Inter-channel Conv-TasNet for multichannel speech enhancement paper on the CHiME-3 dataset? | SDR, PESQ, ΔPESQ, STOI |
What metrics were used to measure the CA Dense U-Net (Complex) model in the Channel-Attention Dense U-Net for Multichannel Speech Enhancement paper on the CHiME-3 dataset? | SDR, PESQ, ΔPESQ, STOI |
What metrics were used to measure the Dense U-Net (Complex) model in the Channel-Attention Dense U-Net for Multichannel Speech Enhancement paper on the CHiME-3 dataset? | SDR, PESQ, ΔPESQ, STOI |
What metrics were used to measure the Dense U-Net (Real) model in the Channel-Attention Dense U-Net for Multichannel Speech Enhancement paper on the CHiME-3 dataset? | SDR, PESQ, ΔPESQ, STOI |
What metrics were used to measure the U-Net (Real) model in the Channel-Attention Dense U-Net for Multichannel Speech Enhancement paper on the CHiME-3 dataset? | SDR, PESQ, ΔPESQ, STOI |
What metrics were used to measure the Noisy/unprocessed model in the Channel-Attention Dense U-Net for Multichannel Speech Enhancement paper on the CHiME-3 dataset? | SDR, PESQ, ΔPESQ, STOI |
What metrics were used to measure the MaxDI (Baseline) model in the EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments paper on the EasyCom dataset? | PESQ, STOI, ViSQOL, HASQI, Audio Quality MOS, SDR, ESTOI, HASPI, SI-SDR, SIIB, SNR, SegSNR |
What metrics were used to measure the ReVISE (ch2) model in the ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement paper on the EasyCom dataset? | PESQ, STOI, ViSQOL, HASQI, Audio Quality MOS, SDR, ESTOI, HASPI, SI-SDR, SIIB, SNR, SegSNR |
What metrics were used to measure the ReVISE (bf) model in the ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement paper on the EasyCom dataset? | PESQ, STOI, ViSQOL, HASQI, Audio Quality MOS, SDR, ESTOI, HASPI, SI-SDR, SIIB, SNR, SegSNR |
What metrics were used to measure the Demucs (ch2) model in the ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement paper on the EasyCom dataset? | PESQ, STOI, ViSQOL, HASQI, Audio Quality MOS, SDR, ESTOI, HASPI, SI-SDR, SIIB, SNR, SegSNR |
What metrics were used to measure the Demucs (bf) model in the ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement paper on the EasyCom dataset? | PESQ, STOI, ViSQOL, HASQI, Audio Quality MOS, SDR, ESTOI, HASPI, SI-SDR, SIIB, SNR, SegSNR |
What metrics were used to measure the DAJA (MVDR,HMA,1000) (Overlapped Speech) model in the Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments paper on the EasyCom dataset? | PESQ, STOI, ViSQOL, HASQI, Audio Quality MOS, SDR, ESTOI, HASPI, SI-SDR, SIIB, SNR, SegSNR |
What metrics were used to measure the SepTr model in the SepTr: Separable Transformer for Audio Spectrogram Processing paper on the Speech Commands dataset? | % Test Accuracy, % Test Accuracy (Raw Data) |
What metrics were used to measure the ViT model in the AST: Audio Spectrogram Transformer paper on the Speech Commands dataset? | % Test Accuracy, % Test Accuracy (Raw Data) |
What metrics were used to measure the FlexTCN-4 model in the FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes paper on the Speech Commands dataset? | % Test Accuracy, % Test Accuracy (Raw Data) |
What metrics were used to measure the MatchboxNet model in the MatchboxNet: 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognition paper on the Speech Commands dataset? | % Test Accuracy, % Test Accuracy (Raw Data) |
What metrics were used to measure the CKCNN (100k) model in the CKConv: Continuous Kernel Convolution For Sequential Data paper on the Speech Commands dataset? | % Test Accuracy, % Test Accuracy (Raw Data) |
What metrics were used to measure the FlexTCN-6 model in the FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes paper on the Speech Commands dataset? | % Test Accuracy, % Test Accuracy (Raw Data) |
What metrics were used to measure the ResBiLSTM model in the Deep Sequence Modeling for Pressure Controlled Mechanical Ventilation paper on the Ventilator Pressure Prediction dataset? | MAE |
What metrics were used to measure the naive classifier model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | F1 |
What metrics were used to measure the GRU-D - APC (n = 1) model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | F1 |
What metrics were used to measure the GRU-APC (n = 1) model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | F1 |
What metrics were used to measure the GRU-D model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | F1 |
What metrics were used to measure the GRU model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | F1 |
What metrics were used to measure the GRU-Simple model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | F1 |
What metrics were used to measure the GRU-Mean model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | F1 |
What metrics were used to measure the Siamese Neural Network model in the Siamese neural networks for one-shot image recognition paper on the MNIST dataset? | Accuracy |
What metrics were used to measure the WaveNet (L+F) model in the WaveNet: A Generative Model for Raw Audio paper on the Mandarin Chinese dataset? | Mean Opinion Score |
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