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regression

Papers

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Showing 4201–4250 of 9424 papers

TitleStatusHype
Interpolation can hurt robust generalization even when there is no noiseCode0
Multimodal Meta-Learning for Time Series Regression—0
Spotify Danceability and Popularity Analysis using SAP—0
Generic Neural Architecture Search via RegressionCode1
Improving Music Performance Assessment with Contrastive LearningCode1
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRICode0
Generalization bounds for nonparametric regression with β-mixing samples—0
Bite-Weight Estimation Using Commercial Ear Buds—0
Topic Embedding Regression Model and its Application to Financial Texts—0
Survival text regression for time-to-event prediction in conversations—0
Gulu at SemEval-2021 Task 7: Detecting and Rating Humor and Offense—0
YoungSheldon at SemEval-2021 Task 7: Fine-tuning Is All You NeedCode0
CDRNN: Discovering Complex Dynamics in Human Language ProcessingCode1
Team\_KGP at SemEval-2021 Task 7: A Deep Neural System to Detect Humor and Offense with Their Ratings in the Text Data—0
DUTH at SemEval-2021 Task 7: Is Conventional Machine Learning for Humorous and Offensive Tasks enough in 2021?—0
hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense—0
UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection—0
Grenzlinie at SemEval-2021 Task 7: Detecting and Rating Humor and Offense—0
katildakat at SemEval-2021 Task 1: Lexical Complexity Prediction of Single Words and Multi-Word Expressions in English—0
Manchester Metropolitan at SemEval-2021 Task 1: Convolutional Networks for Complex Word Identification—0
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction—0
Alejandro Mosquera at SemEval-2021 Task 1: Exploring Sentence and Word Features for Lexical Complexity Prediction—0
IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task—0
Implementing an Improved Test of Matrix Rank in Stata—0
Knowing When to Quit: Selective Cascaded Regression with Patch Attention for Real-Time Face AlignmentCode0
Data-Driven Constitutive Relation Reveals Scaling Law for Hydrodynamic Transport Coefficients—0
Statistical learning method for predicting density-matrix based electron dynamics—0
Creating Powerful and Interpretable Models with Regression Networks—0
Contemporary Symbolic Regression Methods and their Relative PerformanceCode1
MLMOD: Machine Learning Methods for Data-Driven Modeling in LAMMPSCode0
Design-Robust Two-Way-Fixed-Effects Regression For Panel DataCode1
Densely connected neural networks for nonlinear regressionCode0
Deciphering Cryptic Behavior in Bimetallic Transition Metal Complexes with Machine Learning—0
HAFLO: GPU-Based Acceleration for Federated Logistic Regression—0
Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes—0
Modern Non-Linear Function-on-Function Regression—0
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries ChallengeCode0
Robust and Active Learning for Deep Neural Network Regression—0
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning—0
Applications of Machine Learning in Fintech Credit Card Fraud Detection—0
Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference—0
Relational Boosted Regression Trees—0
A brief note on understanding neural networks as Gaussian processes—0
Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU—0
Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images—0
Human Pose Regression with Residual Log-likelihood EstimationCode1
Inference for High Dimensional Censored Quantile RegressionCode0
Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantificationCode0
A local approach to parameter space reduction for regression and classification tasksCode1
LARGE: Latent-Based Regression through GAN SemanticsCode1
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

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