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Regression

5,281 papers

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Papers

Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems NeurIPS 2024 Teach CLIP to Develop a Number Sense for Ordinal Regression ECCV 2024 Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text SemEval 2024 Team NP_PROBLEM at SemEval-2024 Task 7: Numerical Reasoning in Headline Generation with Preference Optimization SemEval 2024 Text Mining at SemEval-2024 Task 1: Evaluating Semantic Textual Relatedness in Low-resource Languages using Various Embedding Methods and Machine Learning Regression Models SemEval 2024 The British Council submission to the BEA 2024 shared task NAACL 2024 The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NeurIPS 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 The Implicit Bias of Adam on Separable Data NeurIPS 2024 The Non-Overlapping Statistical Approximation to Overlapping Group Lasso JMLR 2024 The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NeurIPS 2024 The Solution Path of SLOPE AISTATS 2024 The Space Complexity of Approximating Logistic Loss NeurIPS 2024 The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric ICLR 2024 Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024 Three Studies on Predicting Word Concreteness with Embedding Vectors COLING 2024 TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression ICML 2024 TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization AAAI 2024 Total-Duration-Aware Duration Modeling for Text-to-Speech Systems Interspeech 2024 Toward Conditional Distribution Calibration in Survival Prediction NeurIPS 2024 Towards a General-Purpose Model of Perceived Pragmatic Similarity Interspeech 2024 Towards a Greek Proverb Atlas: Computational Spatial Exploration and Attribution of Greek Proverbs EMNLP 2024 Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning IJCAI 2024 Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing AAAI 2024 Towards Harmless Rawlsian Fairness Regardless of Demographic Prior NeurIPS 2024