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Methodology
← Core Methods
Machine Learning
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Core Methods
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Regression
4964 directly classified papers
Papers per year
2000: 1
2001: 4
2002: 2
2003: 3
2004: 2
2005: 7
2006: 27
2007: 38
2008: 49
2009: 58
2010: 72
2011: 62
2012: 74
2013: 122
2014: 120
2015: 146
2016: 232
2017: 276
2018: 313
2019: 414
2020: 509
2021: 564
2022: 506
2023: 492
2024: 488
2025: 262
2026: 121
Papers
Needles & Haystacks: Dataset and Benchmark for Domain-Agnostic Image-Based Rigid Slice-to-Volume Registration
WACV 2025
Video Individual Counting for Moving Drones
ICCV 2025
Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution
CVPR 2025
Not Every Metric is Equal: Cognitive Models for Predicting N400 and P600 Components During Reading Comprehension
COLING 2025
LIPIDS: Learning-Based Illumination Planning in Discretized (Light) Space for Photometric Stereo
WACV 2025
Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors
JMLR 2025
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
JMLR 2025
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
JMLR 2025
High-Dimensional L2-Boosting: Rate of Convergence
JMLR 2025
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals
JMLR 2025
Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response
JMLR 2025
Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds
JMLR 2025
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
JMLR 2025
Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity
ICCV 2025
I3D-AE-LSTM: A 2-Stream Autoencoder for Action Quality Assessment using a Newly Created Cricket Batsman Video Dataset
WACV 2025
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
JMLR 2025
Gradient Equilibrium in Online Learning: Theory and Applications
JMLR 2025
Bayesian Data Sketching for Varying Coefficient Regression Models
JMLR 2025
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression
IJCAI 2025
Decentralized Sparse Linear Regression via Gradient-Tracking
JMLR 2025
Online Quantile Regression
JMLR 2025
Sketching in High-Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors
JMLR 2025
Substitute Adjustment via Recovery of Latent Variables
JMLR 2025
Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions
ACL 2025
Semantic-guided Camera Ray Regression for Visual Localization
ICCV 2025
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