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regression

Papers

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Showing 6951–7000 of 9424 papers

TitleStatusHype
Which one is more toxic? Findings from Jigsaw Rate Severity of Toxic Comments—0
Which Parts Determine the Impression of the Font?—0
Which Scores to Predict in Sentence Regression for Text Summarization?—0
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution—0
Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection—0
White-Box Target Attack for EEG-Based BCI Regression Problems—0
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression—0
Why Does Surprisal From Smaller GPT-2 Models Provide Better Fit to Human Reading Times?—0
Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction—0
Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty—0
Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data—0
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression—0
Willingness to Pay to Prevent Water and Sanitation-Related Diseases Suffered by Slum Dwellers and Beneficiary Households: Evidence from Chittagong, Bangladesh—0
Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target—0
Wind ramp event prediction with parallelized Gradient Boosted Regression Trees—0
Winning the Big Data Technologies Horizon Prize: Fast and reliable forecasting of electricity grid traffic by identification of recurrent fluctuations—0
Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification—0
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models—0
Working Paper: Improved Stock Price Forecasting Algorithm based on Feature-weighed Support Vector Regression by using Grey Correlation Degree—0
Work In Progress: Safety and Robustness Verification of Autoencoder-Based Regression Models using the NNV Tool—0
Wormhole MAML: Meta-Learning in Glued Parameter Space—0
W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression—0
Wrapped Gaussian Process Regression on Riemannian Manifolds—0
Write a Classifier: Predicting Visual Classifiers from Unstructured Text—0
WSOD with PSNet and Box Regression—0
WUY at SemEval-2020 Task 7: Combining BERT and Naive Bayes-SVM for Humor Assessment in Edited News Headlines—0
XBART: Accelerated Bayesian Additive Regression Trees—0
XLNET-GRU Sentiment Regression Model for Cryptocurrency News in English and Malay—0
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model—0
XpertAI: uncovering model strategies for sub-manifolds—0
X-TREPAN: a multi class regression and adapted extraction of comprehensible decision tree in artificial neural networks—0
Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos—0
YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in Tweets—0
YOLOPose: Transformer-based Multi-Object 6D Pose Estimation using Keypoint Regression—0
YoTube: Searching Action Proposal via Recurrent and Static Regression Networks—0
"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling—0
Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks—0
Zero-Shot Automatic Pronunciation Assessment—0
Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian—0
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models—0
Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros—0
Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel Corpora—0
Zoetrope Genetic Programming for Regression—0
Tensor Sparse PCA and Face Recognition: A Novel Approach—0
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task—0
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes—0
Regression from Dependent Observations—0
A deep learning approach for analyzing the composition of chemometric data—0
Two-stage Best-scored Random Forest for Large-scale Regression—0
Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified