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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
Direct Shape Regression Networks for End-to-End Face Alignment
CVPR 2018
Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction
CVPR 2018
Crowd Counting With Deep Negative Correlation Learning
CVPR 2018
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction
IJCAI 2018
Direct Output Connection for a High-Rank Language Model
EMNLP 2018
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
NIPS 2018
IIT Delhi at SemEval-2018 Task 1 : Emotion Intensity Prediction
SEMEVAL 2018
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
COLT 2018
The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities
COLING 2018
Determining Event Durations: Models and Error Analysis
NAACL 2018
Learning Single-Index Models in Gaussian Space
COLT 2018
Words Worth: Verbal Content and Hirability Impressions in YouTube Video Resumes
EMNLP 2018
Rectangular Bounding Process
NIPS 2018
Algorithmic Linearly Constrained Gaussian Processes
NIPS 2018
Deep Factorization Machines for Knowledge Tracing
NAACL 2018
Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP)
NAACL 2018
Neural Networks for Predicting Algorithm Runtime Distributions
IJCAI 2018
Robust Synthetic Control
JMLR 2018
tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models
JMLR 2018
Objective Function Learning to Match Human Judgements for Optimization-Based Summarization
NAACL 2018
An Approach to the CLPsych 2018 Shared Task Using Top-Down Text Representation and Simple Bottom-Up Model Selection
NAACL 2018
The Effect of Adding Authorship Knowledge in Automated Text Scoring
NAACL 2018
Seglearn: A Python Package for Learning Sequences and Time Series
JMLR 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
JMLR 2018
Outlier Detection and Robust Estimation in Nonparametric Regression
AISTATS 2018
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