{"total":22,"rows":[{"id":"2410.24210","title":"TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling","created":"2024-10-31","cited_by_count":113,"area":null},{"id":"2405.16350","title":"A Second-Order Perspective on Model Compositionality and Incremental Learning","created":"2024-05-25","cited_by_count":18,"area":null},{"id":"2408.03100","title":"Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators","created":"2024-08-06","cited_by_count":18,"area":null},{"id":"2302.00704","title":"Pathologies of Predictive Diversity in Deep Ensembles","created":"2023-02-01","cited_by_count":16,"area":null},{"id":"2411.00247","title":"Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond","created":"2024-10-31","cited_by_count":9,"area":null},{"id":"2405.17613","title":"Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning","created":"2024-05-27","cited_by_count":8,"area":null},{"id":"2406.03258","title":"Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise","created":"2024-06-05","cited_by_count":8,"area":null},{"id":"2412.15758","title":"Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles","created":"2024-12-20","cited_by_count":8,"area":null},{"id":"2410.16201","title":"Theoretical Limitations of Ensembles in the Age of Overparameterization","created":"2024-10-21","cited_by_count":6,"area":null},{"id":"2305.15912","title":"Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks","created":"2023-05-25","cited_by_count":5,"area":null},{"id":"2508.09888","title":"Modern Neural Networks for Small Tabular Datasets: The New Default for Field-Scale Digital Soil Mapping?","created":"2025-08-13","cited_by_count":4,"area":null},{"id":"2506.23286","title":"Not All Explanations for Deep Learning Phenomena Are Equally Valuable","created":"2025-06-29","cited_by_count":3,"area":null},{"id":"2407.12491","title":"Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving","created":"2024-07-17","cited_by_count":2,"area":null},{"id":"2410.13831","title":"The Disparate Benefits of Deep Ensembles","created":"2024-10-17","cited_by_count":2,"area":null},{"id":"2410.04520","title":"Regularized Neural Ensemblers","created":"2024-10-06","cited_by_count":1,"area":null},{"id":"2505.17909","title":"NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2511.04160","title":"On Joint Regularization and Calibration in Deep Ensembles","created":"2025-11-06","cited_by_count":0,"area":null},{"id":"2605.11530","title":"Multi-Narrow Transformation as a Single-Model Ensemble: Boundary Conditions, Mechanisms, and Failure Modes","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2607.05025","title":"Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.05389","title":"InFlux++: Real and Synthetic Data for Estimating Dynamic Camera Intrinsics","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.28304","title":"Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2609.35827","title":"Meta-learning accelerates detector design optimization","created":"2026-09-22","cited_by_count":0,"area":null}],"next_cursor":null}