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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
PreSumm: Predicting Summarization Performance Without Summarizing
ACL 2025
UTBNLP at Semeval-2025 Task 11: Predicting Emotion Intensity with BERT and VAD-Informed Attention.
SEMEVAL 2025
LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting
IJCAI 2025
Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity
ICCV 2025
Uncover Treasures in DCT: Advancing JPEG Quality Enhancement by Exploiting Latent Correlations
ICCV 2025
I3D-AE-LSTM: A 2-Stream Autoencoder for Action Quality Assessment using a Newly Created Cricket Batsman Video Dataset
WACV 2025
Bayesian Data Sketching for Varying Coefficient Regression Models
JMLR 2025
Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern
IJCAI 2025
ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers
ICCV 2025
LIPIDS: Learning-Based Illumination Planning in Discretized (Light) Space for Photometric Stereo
WACV 2025
TPD-STR: Text Polygon Detection with Split Transformers
WACV 2025
Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds
JMLR 2025
Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response
JMLR 2025
High-Dimensional L2-Boosting: Rate of Convergence
JMLR 2025
From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective
JMLR 2025
Rank-one Convexification for Sparse Regression
JMLR 2025
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
JMLR 2025
Semantic-guided Camera Ray Regression for Visual Localization
ICCV 2025
Multi-Subspace Matrix Recovery from Permuted Data
AAAI 2025
Optimal Functional Bilinear Regression with Two-dimensional Functional Covariates via Reproducing Kernel Hilbert Space
JMLR 2025
Multi-Label Ranking Loss Minimization for Matrix Completion
AAAI 2025
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals
JMLR 2025
Selective Inference with Distributed Data
JMLR 2025
Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors
JMLR 2025
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution
ICCV 2025
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