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Regression

5,281 papers

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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