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Regression

4964 directly classified papers

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Papers

Implicit Regularization Paths of Weighted Neural Representations NIPS 2024
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NIPS 2024
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks AAAI 2024
Shuffled Deep Regression AAAI 2024
4+3 Phases of Compute-Optimal Neural Scaling Laws NIPS 2024
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems AAAI 2024
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms NIPS 2024
How Important is a Language Model for Low-resource ASR? ACL 2024
Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 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
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting AAAI 2024
VoiCor: A Residual Iterative Voice Correction Framework for Monaural Speech Enhancement INTERSPEECH 2024
Neural ATSM: Fully Neural Network-based Adaptive Time-Scale Modification Using Sentence-Specific Dynamic Control INTERSPEECH 2024
Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management AAAI 2024
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations AAAI 2024
SemanticCUETSync at SemEval-2024 Task 1: Finetuning Sentence Transformer to Find Semantic Textual Relatedness SEMEVAL 2024
Random Forest Weighted Local Fréchet Regression with Random Objects JMLR 2024
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024
From GARCH to Neural Network for Volatility Forecast AAAI 2024
PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding CVPR 2024
Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport JMLR 2024
Contrastive Learning Drug Response Models from Natural Language Supervision IJCAI 2024
Unsupervised Tree Boosting for Learning Probability Distributions JMLR 2024
Leveraging Universal Speech Representations for Detecting and Assessing the Severity of Mild Cognitive Impairment Across Languages INTERSPEECH 2024
Findings from the First Shared Task on Automated Prediction of Difficulty and Response Time for Multiple-Choice Questions NAACL 2024