Regression
5,281 papers
Papers per year
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2000
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Papers
Gradient Descent Learns Linear Dynamical Systems
JMLR 2018
Gradient Hard Thresholding Pursuit
JMLR 2018
Graph-Cut RANSAC
CVPR 2018
Greedy Stone Tower Creations with a Robotic Arm
IJCAI 2018
HCR-Net: A Hybrid of Classification and Regression Network for Object Pose Estimation
IJCAI 2018
High Dimensional Linear Regression using Lattice Basis Reduction
NeurIPS 2018
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach
ICML 2018
High-quality Voice Conversion Using Spectrogram-Based WaveNet Vocoder
Interspeech 2018
Horizon-Independent Minimax Linear Regression
NeurIPS 2018
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs
COLING 2018
How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level
COLING 2018
HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction
IJCAI 2018
Hunting for Discriminatory Proxies in Linear Regression Models
NeurIPS 2018
IIT Delhi at SemEval-2018 Task 1 : Emotion Intensity Prediction
SemEval 2018
Improving Color Reproduction Accuracy on Cameras
CVPR 2018
Improving Object Localization With Fitness NMS and Bounded IoU Loss
CVPR 2018
Improving Regression Performance with Distributional Losses
ICML 2018
Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables
AISTATS 2018
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks
ICLR 2018
Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis
AISTATS 2018
Iterate Averaging as Regularization for Stochastic Gradient Descent
COLT 2018
JUMP: a Jointly Predictor for User Click and Dwell Time
IJCAI 2018
KELP: a Kernel-based Learning Platform
JMLR 2018
Kernel Conditional Exponential Family
AISTATS 2018
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces
CVPR 2018