conftrace_

predictive uncertainty

79 papers

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PU

Co-occurring keywords

uncertainty quantification (1393) uncertainty estimation (648) out-of-distribution detection (617) variational inference (2069) neural network (6616) model calibration (232) bayesian deep learning (68) bayesian neural network (201) epistemic uncertainty (160) uncertainty calibration (58)

Papers

Smoothed Online Combinatorial Optimization Using Imperfect Predictions AAAI 2023
Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models UAI 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks NIPS 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning NIPS 2023
Uncertainty Estimation for Connectionist Temporal Classification Based Automatic Speech Recognition INTERSPEECH 2023
Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NIPS 2022
Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension ACL 2022
Fast predictive uncertainty for classification with Bayesian deep networks UAI 2022
JAWS: Auditing Predictive Uncertainty Under Covariate Shift NIPS 2022
Improving Evidential Deep Learning via Multi-Task Learning AAAI 2022
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts NIPS 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity EMNLP 2022
Tractable Function-Space Variational Inference in Bayesian Neural Networks NIPS 2022
TACTiS: Transformer-Attentional Copulas for Time Series ICML 2022
Autoinverse: Uncertainty Aware Inversion of Neural Networks NIPS 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NIPS 2022
Revisiting the Calibration of Modern Neural Networks NIPS 2021
Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021
Bayesian Deep Learning via Subnetwork Inference ICML 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021
Human Uncertainty Inference via Deterministic Ensemble Neural Networks AAAI 2021
Learnable uncertainty under Laplace approximations UAI 2021
On Hallucination and Predictive Uncertainty in Conditional Language Generation EACL 2021