conftrace_

deep ensemble

52 papers

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DE

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uncertainty quantification (1393) uncertainty estimation (648) ensemble learning (1274) out-of-distribution detection (617) neural network (6616) bayesian neural network (201) variational inference (2069) model diversity (19) model calibration (232) monte carlo dropout (54)

Papers

DEGRE: Dynamic Gating Ensembles for Trust-Aware Rejection in Medical Image Diagnostics AAAI 2026
Credal Ensemble Distillation for Uncertainty Quantification AAAI 2026
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting WACV 2025
Are Ensembles Getting Better All the Time? JMLR 2025
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance NIPS 2024
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding CLEAR 2024
How Good is a Single Basin? AISTATS 2024
Credal Deep Ensembles for Uncertainty Quantification NIPS 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024
Great Minds Think Alike: The Universal Convergence Trend of Input Salience NIPS 2024
Uncertainty Estimation in Instance Segmentation With Star-Convex Shapes WACV 2024
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024
Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification NIPS 2023
Traversing Between Modes in Function Space for Fast Ensembling ICML 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification AISTATS 2023
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods NIPS 2023
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data ICML 2023
Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models ICCV 2023
Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles L4DC 2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion NIPS 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries ICML 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NIPS 2023
On the role of model uncertainties in Bayesian optimisation UAI 2023
Composite Feature Selection Using Deep Ensembles NIPS 2022