| Node Regression on Latent Position Random Graphs via Local Averaging | Oct 29, 2024 | Graph RegressionNode Regression | —Unverified | 0 |
| Evaluating K-Fold Cross Validation for Transformer Based Symbolic Regression Models | Oct 29, 2024 | regressionSymbolic Regression | —Unverified | 0 |
| RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier | Oct 29, 2024 | Classificationregression | CodeCode Available | 1 |
| High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation | Oct 28, 2024 | regression | CodeCode Available | 0 |
| A Distributed Lag Approach to the Generalised Dynamic Factor Model (GDFM) | Oct 28, 2024 | regression | —Unverified | 0 |
| Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models | Oct 28, 2024 | Computational EfficiencyFeature Importance | CodeCode Available | 2 |
| Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators | Oct 27, 2024 | Bayesian Inferenceregression | —Unverified | 0 |
| Predicting Mortality and Functional Status Scores of Traumatic Brain Injury Patients using Supervised Machine Learning | Oct 27, 2024 | Decision Makingfeature selection | —Unverified | 0 |
| Understanding the Effect of GCN Convolutions in Regression Tasks | Oct 26, 2024 | regression | —Unverified | 0 |
| On the Gaussian process limit of Bayesian Additive Regression Trees | Oct 26, 2024 | regression | CodeCode Available | 0 |
| Disentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoder | Oct 25, 2024 | Diversityregression | —Unverified | 0 |
| Conformal Prediction for Multimodal Regression | Oct 25, 2024 | Conformal PredictionPrediction | CodeCode Available | 0 |
| Noise-Aware Differentially Private Variational Inference | Oct 25, 2024 | Bayesian Inferenceregression | —Unverified | 0 |
| Target Strangeness: A Novel Conformal Prediction Difficulty Estimator | Oct 24, 2024 | Conformal PredictionPrediction | CodeCode Available | 0 |
| LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search | Oct 24, 2024 | ClusteringGPU | CodeCode Available | 2 |
| Adjusted Overfitting Regression | Oct 24, 2024 | Formregression | —Unverified | 0 |
| High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws | Oct 24, 2024 | Knowledge Distillationregression | —Unverified | 0 |
| Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens | Oct 24, 2024 | regression | CodeCode Available | 0 |
| Generalized Resubstitution for Regression Error Estimation | Oct 23, 2024 | regression | —Unverified | 0 |
| A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression | Oct 23, 2024 | regression | —Unverified | 0 |
| regAL: Python Package for Active Learning of Regression Problems | Oct 23, 2024 | Active Learningregression | —Unverified | 0 |
| Self-Supervised Learning for Time Series: A Review & Critique of FITS | Oct 23, 2024 | regressionSelf-Supervised Learning | CodeCode Available | 0 |
| A Kernel Perspective on Distillation-based Collaborative Learning | Oct 23, 2024 | regression | —Unverified | 0 |
| A Comparison of Baseline Models and a Transformer Network for SOC Prediction in Lithium-Ion Batteries | Oct 22, 2024 | Managementregression | —Unverified | 0 |
| A Survey on Deep Learning-based Gaze Direction Regression: Searching for the State-of-the-art | Oct 22, 2024 | regression | —Unverified | 0 |
| Limit Theorems for Stochastic Gradient Descent with Infinite Variance | Oct 21, 2024 | regression | —Unverified | 0 |
| Solving Sparse \& High-Dimensional-Output Regression via Compression | Oct 21, 2024 | Decision Makingregression | —Unverified | 0 |
| A Two-Stage Learning-to-Defer Approach for Multi-Task Learning | Oct 21, 2024 | ClassificationMulti-Task Learning | —Unverified | 0 |
| Learning signals defined on graphs with optimal transport and Gaussian process regression | Oct 21, 2024 | Active LearningDimensionality Reduction | —Unverified | 0 |
| Calibration of ordinal regression networks | Oct 21, 2024 | regression | —Unverified | 0 |
| Using GPT Models for Qualitative and Quantitative News Analytics in the 2024 US Presidental Election Process | Oct 21, 2024 | RAGregression | —Unverified | 0 |
| AutoTrain: No-code training for state-of-the-art models | Oct 21, 2024 | Classificationimage-classification | CodeCode Available | 7 |
| Online Pseudo-Label Unified Object Detection for Multiple Datasets Training | Oct 21, 2024 | Objectobject-detection | —Unverified | 0 |
| Multiple Kernel Clustering via Local Regression Integration | Oct 20, 2024 | Clusteringregression | —Unverified | 0 |
| Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach | Oct 19, 2024 | quantile regressionregression | —Unverified | 0 |
| Controllable RANSAC-based Anomaly Detection via Hypothesis Testing | Oct 19, 2024 | Anomaly Detectionregression | —Unverified | 0 |
| FIT-GNN: Faster Inference Time for GNNs Using Coarsening | Oct 19, 2024 | ClassificationGraph Classification | CodeCode Available | 0 |
| Interpreting Microbiome Relative Abundance Data Using Symbolic Regression | Oct 18, 2024 | DiagnosticKnowledge Distillation | CodeCode Available | 0 |
| Diffusion-based Semi-supervised Spectral Algorithm for Regression on Manifolds | Oct 18, 2024 | regression | —Unverified | 0 |
| Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups | Oct 18, 2024 | regression | —Unverified | 0 |
| Generalization for Least Squares Regression With Simple Spiked Covariances | Oct 17, 2024 | regression | —Unverified | 0 |
| Supervised Kernel Thinning | Oct 17, 2024 | Computational Efficiencyregression | CodeCode Available | 0 |
| Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large p | Oct 17, 2024 | Benchmarkingregression | CodeCode Available | 0 |
| Diffusing States and Matching Scores: A New Framework for Imitation Learning | Oct 17, 2024 | continuous-controlContinuous Control | CodeCode Available | 1 |
| D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement | Oct 17, 2024 | GPUReal-Time Object Detection | CodeCode Available | 7 |
| MAX: Masked Autoencoder for X-ray Fluorescence in Geological Investigation | Oct 16, 2024 | Fill MaskGeochemistry | CodeCode Available | 0 |
| Gravity-aligned Rotation Averaging with Circular Regression | Oct 16, 2024 | Mixed Realityregression | CodeCode Available | 7 |
| Efficient Optimization Algorithms for Linear Adversarial Training | Oct 16, 2024 | regression | —Unverified | 0 |
| Neural Symbolic Regression of Complex Network Dynamics | Oct 15, 2024 | regressionSymbolic Regression | —Unverified | 0 |
| State-space models can learn in-context by gradient descent | Oct 15, 2024 | In-Context Learningregression | —Unverified | 0 |