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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
When Argumentation Meets Cohesion: Enhancing Automatic Feedback in Student Writing
COLING 2024
Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education
COLING 2024
Label Noise Robustness of Conformal Prediction
JMLR 2024
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
AISTATS 2024
Random Forest Weighted Local Fréchet Regression with Random Objects
JMLR 2024
Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators
AISTATS 2024
Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks
JMLR 2024
Low-Rank Matrix Estimation in the Presence of Change-Points
JMLR 2024
PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding
CVPR 2024
On Tail Decay Rate Estimation of Loss Function Distributions
JMLR 2024
Distributed Estimation on Semi-Supervised Generalized Linear Model
JMLR 2024
Differentially private methods for managing model uncertainty in linear regression
JMLR 2024
A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
CVPR 2024
NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness
SEMEVAL 2024
Single Domain Generalization for Crowd Counting
CVPR 2024
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts
AISTATS 2024
Post-Regularization Confidence Bands for Ordinary Differential Equations
JMLR 2024
Text Mining at SemEval-2024 Task 1: Evaluating Semantic Textual Relatedness in Low-resource Languages using Various Embedding Methods and Machine Learning Regression Models
SEMEVAL 2024
Automatic Speech Recognition System-Independent Word Error Rate Estimation
COLING 2024
FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models
CVPR 2024
Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic
JMLR 2024
Semi-supervised Inference for Block-wise Missing Data without Imputation
JMLR 2024
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean
AISTATS 2024
Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design
JMLR 2024
Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for Fine-Grained Scoring of Textual Semantic Relations
SEMEVAL 2024
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