Co-occurring keywords · papers mentioning both
Papers
Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation
AAAI 2022
Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation
IJCAI 2022
Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration
WACV 2022
Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction
Interspeech 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness
NeurIPS 2022
VICE: Variational Interpretable Concept Embeddings
NeurIPS 2022
What Makes Graph Neural Networks Miscalibrated?
NeurIPS 2022
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters
NeurIPS 2022
A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation
AAAI 2021
Active Learning for Deep Object Detection via Probabilistic Modeling
ICCV 2021
Active Learning for Lane Detection: A Knowledge Distillation Approach
ICCV 2021
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates
EACL 2021
Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion
Interspeech 2021
Alignment Attention by Matching Key and Query Distributions
NeurIPS 2021
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
ICML 2021
Bayesian Adaptation for Covariate Shift
NeurIPS 2021
Bayesian Attention Belief Networks
ICML 2021
Bayesian Context Aggregation for Neural Processes
ICLR 2021
Bayesian Deep Basis Fitting for Depth Completion With Uncertainty
ICCV 2021
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
AISTATS 2021
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
EMNLP 2021
Bounded-cost Search Using Estimates of Uncertainty
IJCAI 2021
Calibrated Adaptive Probabilistic ODE Solvers
AISTATS 2021
Can multi-label classification networks know what they don’t know?
NeurIPS 2021
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning
AAAI 2021