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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
Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN
CVPR 2018
Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz
CVPR 2018
Deep Regression Forests for Age Estimation
CVPR 2018
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
CVPR 2018
RSG: Beating Subgradient Method without Smoothness and Strong Convexity
JMLR 2018
Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models
JMLR 2018
A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations
JMLR 2018
Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification
JMLR 2018
Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization
JMLR 2018
Compact Convex Projections
JMLR 2018
Multivariate Bayesian Structural Time Series Model
JMLR 2018
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
JMLR 2018
Age Estimation Using Expectation of Label Distribution Learning
IJCAI 2018
Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences
IJCAI 2018
Parameterized Algorithms for the Matrix Completion Problem
ICML 2018
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap
ICML 2018
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow
ICML 2018
TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring
ACL 2018
Thread Popularity Prediction and Tracking with a Permutation-invariant Model
EMNLP 2018
Large Margin Neural Language Model
EMNLP 2018
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation
EMNLP 2018
Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data
EMNLP 2018
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)
ICML 2018
Learning unknown ODE models with Gaussian processes
ICML 2018
Mean-Variance Loss for Deep Age Estimation From a Face
CVPR 2018
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