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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
Utilizing Machine Learning to Predict Question Difficulty and Response Time for Enhanced Test Construction
NAACL 2024
Truthful High Dimensional Sparse Linear Regression
NIPS 2024
How Important is a Language Model for Low-resource ASR?
ACL 2024
Generalized Fast Exact Conformalization
NIPS 2024
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
EMNLP 2024
SemanticCUETSync at SemEval-2024 Task 1: Finetuning Sentence Transformer to Find Semantic Textual Relatedness
NAACL 2024
Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text
NAACL 2024
Plug-in Language Model: Controlling Text Generation with a Simple Regression Model
NAACL 2024
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
NIPS 2024
Learning Macroscopic Dynamics from Partial Microscopic Observations
NIPS 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
NIPS 2024
Scaling Up Unbiased Search-based Symbolic Regression
IJCAI 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
NIPS 2024
Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification
NAACL 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts
NIPS 2024
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems
AAAI 2024
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
NIPS 2024
Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management
AAAI 2024
Symbolic Regression with a Learned Concept Library
NIPS 2024
Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads
NAACL 2024
Articulatory Configurations across Genders and Periods in French Radio and TV archives
INTERSPEECH 2024
On the Computational Complexity of Private High-dimensional Model Selection
NIPS 2024
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting
AAAI 2024
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting
AAAI 2024
On Tail Decay Rate Estimation of Loss Function Distributions
JMLR 2024
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