conftrace_

bayesian deep learning

68 papers

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Also known as

BDL

Co-occurring keywords

uncertainty quantification (1393) variational inference (2069) gaussian process (1200) predictive uncertainty (79) uncertainty estimation (648) variational autoencoder (1288) bayesian inference (1907) neural network (6616) convolutional neural network (4226) epistemic uncertainty (160)

Papers

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026
Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling AAAI 2025
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction AAAI 2025
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA NIPS 2024
Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024
Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NIPS 2024
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NIPS 2023
Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023
Distortion and Uncertainty Aware Loss for Panoramic Depth Completion ICML 2023
Width and Depth Limits Commute in Residual Networks ICML 2023
Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning CVPR 2023
All You Need is a Good Functional Prior for Bayesian Deep Learning JMLR 2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning ICML 2022
Posterior Collapse of a Linear Latent Variable Model NIPS 2022
Fast predictive uncertainty for classification with Bayesian deep networks UAI 2022
Bayesian Deep Embedding Topic Meta-Learner ICML 2022
The Neural Testbed: Evaluating Joint Predictions NIPS 2022
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue ACL 2022
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation CVPR 2022
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning NIPS 2022
Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks UAI 2021