Regression
5,281 papers
Papers per year
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2000
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Papers
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
AAAI 2025
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
JMLR 2025
H-Consistency Guarantees for Regression
ICML 2024
4+3 Phases of Compute-Optimal Neural Scaling Laws
NeurIPS 2024
AACP: Aesthetics Assessment of Children’s Paintings Based on Self-Supervised Learning
AAAI 2024
A Benchmark Study on Calibration
ICLR 2024
A Bit of a Problem: Measurement Disparities in Dataset Sizes across Languages
COLING 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
Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition
JMLR 2024
Acceleration and Implicit Regularization in Gaussian Phase Retrieval
AISTATS 2024
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
NeurIPS 2024
A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning
IJCAI 2024
Active learning of neural population dynamics using two-photon holographic optogenetics
NeurIPS 2024
Adapting Nine Traditional Text Readability Measures into Sesotho
COLING 2024
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression
AISTATS 2024
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
ECCV 2024
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
NeurIPS 2024
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction
AAAI 2024
Adaptive neural network based control approach for building energy control under changing environmental conditions
L4DC 2024
Adaptive Passive-Aggressive Framework for Online Regression with Side Information
NeurIPS 2024
A Dataset for Multi-Scale Film Rating Inference from Reviews
COLING 2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning
JMLR 2024
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss
EMNLP 2024
Adversarial Likelihood Estimation With One-Way Flows
WACV 2024
A Fixed-Point Approach to Unified Prompt-Based Counting
AAAI 2024