conftrace_

deep ensemble

71 papers

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DE

Co-occurring keywords · papers mentioning both

uncertainty quantification (27) uncertainty estimation (22) out-of-distribution detection (12) bayesian neural network (9) ensemble learning (9) neural network (8) model calibration (6) variational inference (6) monte carlo dropout (5) model diversity (4)

Papers

Beyond Mixtures and Products for Ensemble Aggregation: A Likelihood Perspective on Generalized Means UAI 2026 Credal Ensemble Distillation for Uncertainty Quantification AAAI 2026 DEGRE: Dynamic Gating Ensembles for Trust-Aware Rejection in Medical Image Diagnostics AAAI 2026 On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference UAI 2026 YieldSAT: A Multimodal Benchmark Dataset for High-Resolution Crop Yield Prediction CVPR 2026 Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence ICLR 2025 Are Ensembles Getting Better All the Time? JMLR 2025 Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification ICLR 2025 Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting WACV 2025 On Local Posterior Structure in Deep Ensembles AISTATS 2025 Over the Top-1: Uncertainty-Aware Cross-Modal Retrieval with CLIP UAI 2025 Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization ICML 2025 Scalable Bayesian Learning with posteriors ICLR 2025 The Disparate Benefits of Deep Ensembles ICML 2025 Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? ICML 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024 Emergent Equivariance in Deep Ensembles ICML 2024 Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding CLeaR 2024 Fast Ensembling with Diffusion Schrödinger Bridge ICLR 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NeurIPS 2024 How Good is a Single Basin? AISTATS 2024 Input-gradient space particle inference for neural network ensembles ICLR 2024 Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024 Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance NeurIPS 2024