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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
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2003: 3
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2006: 27
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2010: 72
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2026: 121
Papers
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting
AAAI 2026
SELDON: Supernova Explosions Learned by Deep ODE Networks
AAAI 2026
Tensorized Label Learning via Balanced Tensor Regression
AAAI 2026
Binary Split Categorical Feature with Mean Absolute Error Criteria in CART
AAAI 2026
Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting
AAAI 2026
M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting
AAAI 2026
Multi-Label Classification with Incremental and Decremental Features
AAAI 2026
Time Series Forecasting via Direct Per-Step Probability Distribution Modeling
AAAI 2026
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
AAAI 2026
Generalizing Analogical Inference from Boolean to Continuous Domains
AAAI 2026
MDBench: Benchmarking Data-Driven Methods for Model Discovery
AAAI 2026
Towards Illumination-Aware Restoration of Metalens-Captured Images: A New Dataset and a Strong Baseline
AAAI 2026
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization
AAAI 2026
Point Cloud Quality Assessment via Multi-View Structure-Aware Feature Fusion
AAAI 2026
Detecting Unobserved Confounders: A Kernelized Regression Approach
AAAI 2026
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
AAAI 2026
Optimizing Product Provenance Verification Using Data Valuation Methods
AAAI 2026
Arabic-Adapted One-Step Speech-to-Diacritized ASR: Evaluation and Error Analysis
EACL 2026
TReX: Tokenizer Regression for Optimal Data Mixture
EACL 2026
Next Patch Prediction for AutoRegressive Visual Generation
AAAI 2026
Game-Theoretic Simulations Meet AI: Fast Policy Recommendations Under Data Scarcity (Student Abstract)
AAAI 2026
NLP_goats at SemEval-2025 Task 11: Multi-Label Emotion Classification Using Fine-Tuned Roberta-Large Tranformer
ACL 2025
Image-Level Regression for Uncertainty-Aware Retinal Image Segmentation
WACV 2025
Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity
ICCV 2025
ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers
ICCV 2025
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