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← Core Methods
Machine Learning
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Core Methods
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Regression
4964 directly classified papers
Papers per year
2000: 1
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2002: 2
2003: 3
2004: 2
2005: 7
2006: 27
2007: 38
2008: 49
2009: 58
2010: 72
2011: 62
2012: 74
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2015: 146
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2017: 276
2018: 313
2019: 414
2020: 509
2021: 564
2022: 506
2023: 492
2024: 488
2025: 262
2026: 121
Papers
Beyond Cosine Similarity: Magnitude-Aware CLIP for No-Reference Image Quality Assessment
AAAI 2026
SCAN: Self-Calibrated AutoregressioN for High-Quality Visual Generation
AAAI 2026
OscuFit: Learning to Fit Osculating Implicit Quadrics for Point Clouds
AAAI 2026
Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification
AAAI 2026
DCHO: A Decomposition–Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications
AAAI 2026
Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
AAAI 2026
Scalable Vision-Guided Crop Yield Estimation
AAAI 2026
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
AAAI 2026
Online Linear Regression with Paid Stochastic Features
AAAI 2026
Integral-based Knockoffs Inference for Partially Linear Models
AAAI 2026
ExoTimer: Leveraging Large Language Models for Time Series Forecasting with Exogenous Variables
AAAI 2026
FeTS: A Feature-Aware Framework for Time Series Forecasting
AAAI 2026
Lightweight Additive Blend Maps for Texture-Preserving Face Retouching: A Neural Approach to Traditional Photographic Techniques
AAAI 2026
MicroEvoEval: A Systematic Evaluation Framework for Image-Based Microstructure Evolution Prediction
AAAI 2026
Fine-grained Image Quality Assessment for Perceptual Image Restoration
AAAI 2026
Predicting Session Termination and Retention on X from Fine-Grained Interaction Logs (Student Abstract)
AAAI 2026
Integrating Fourier Neural Operators into High-Fidelity Helicopter Flight Simulation for Real-Time Urban Wind Prediction
AAAI 2026
Digital Scale: Open-Source On-Device BMI Estimation from Smartphone Camera Images Trained on a Large-Scale Real-World Dataset
AAAI 2026
iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract)
AAAI 2026
Bridging Machine Learning and Physics for Scalable Long-Term Building Temperature Prediction (Student Abstract)
AAAI 2026
SasMamba: A Lightweight Structure-Aware Stride State Space Model for 3D Human Pose Estimation
WACV 2026
Streaming Generated Gaussian Process Experts for Online Learning and Control
AAAI 2026
A Differential Perspective on Distributional Reinforcement Learning
AAAI 2026
Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint
AAAI 2026
Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting
AAAI 2026
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